Evolutionary multi-objective fishing routing with decision maker’s preferences
This study aims to enhance economic and environmental sustainability of fisheries through fishing routing methods that can reduce operational costs, emission footprints, and incidental fishing risks. To achieve this, a novel problem definition is introduced, the time-dependent multi-objective orient...
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| Vydáno v: | Applied soft computing Ročník 182; s. 113587 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
01.10.2025
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| ISSN: | 1568-4946 |
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| Abstract | This study aims to enhance economic and environmental sustainability of fisheries through fishing routing methods that can reduce operational costs, emission footprints, and incidental fishing risks. To achieve this, a novel problem definition is introduced, the time-dependent multi-objective orienteering problem with time windows and moving targets (TDMOOP-TWMT). Unlike existing fishing routing problems, the TDMOOP-TWMT allows users to define their fishing trips by setting a maximum time at sea rather than a predefined number of fishing sets. This multi-objective problem includes three goals: fuel-oil consumption, catches of tuna species, and incidental catches of non-target species (bycatch). To address this problem, the w-MOEA/D algorithm is employed, which incorporates decision-makers’ preferences using wide weight intervals for each objective, eliminating the need for precise weight values. Compared to the classical MOEA/D, the w-MOEA/D method achieves solutions closer to the true Pareto front while reducing the final solution set based on users’ preferences. To demonstrate the potential application and benefits in a real context, 12 historical routes are employed across different fishing scenarios, each defined by varying the weight intervals of the objectives. The results show that w-MOEA/D routes allow for consuming less fuel and catching more tuna, though with a higher risk of bycatch when compared to historical trips. However, prioritizing bycatch avoidance reduces this risk while maintaining similar fuel efficiency, although with a lower increase in catches. In summary, this study highlights the effectiveness of the proposed solution method in supporting fishers' decision-making by incorporating their preferences when planning fishing routes.
•Presents multi-objective fishing routing with economic and environmental goals.•Equivalent to MOO time-dependent orienteering problem with time windows and moving targets.•Utilizes user-provided weight intervals instead of precise weight values per objective.•w-MOEA/D algorithm finds solutions closer to the true Pareto Front than original MOEA/D.•Routes with lower fuel usage and trade-offs between catches and bycatch are obtained. |
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| AbstractList | This study aims to enhance economic and environmental sustainability of fisheries through fishing routing methods that can reduce operational costs, emission footprints, and incidental fishing risks. To achieve this, a novel problem definition is introduced, the time-dependent multi-objective orienteering problem with time windows and moving targets (TDMOOP-TWMT). Unlike existing fishing routing problems, the TDMOOP-TWMT allows users to define their fishing trips by setting a maximum time at sea rather than a predefined number of fishing sets. This multi-objective problem includes three goals: fuel-oil consumption, catches of tuna species, and incidental catches of non-target species (bycatch). To address this problem, the w-MOEA/D algorithm is employed, which incorporates decision-makers’ preferences using wide weight intervals for each objective, eliminating the need for precise weight values. Compared to the classical MOEA/D, the w-MOEA/D method achieves solutions closer to the true Pareto front while reducing the final solution set based on users’ preferences. To demonstrate the potential application and benefits in a real context, 12 historical routes are employed across different fishing scenarios, each defined by varying the weight intervals of the objectives. The results show that w-MOEA/D routes allow for consuming less fuel and catching more tuna, though with a higher risk of bycatch when compared to historical trips. However, prioritizing bycatch avoidance reduces this risk while maintaining similar fuel efficiency, although with a lower increase in catches. In summary, this study highlights the effectiveness of the proposed solution method in supporting fishers' decision-making by incorporating their preferences when planning fishing routes.
•Presents multi-objective fishing routing with economic and environmental goals.•Equivalent to MOO time-dependent orienteering problem with time windows and moving targets.•Utilizes user-provided weight intervals instead of precise weight values per objective.•w-MOEA/D algorithm finds solutions closer to the true Pareto Front than original MOEA/D.•Routes with lower fuel usage and trade-offs between catches and bycatch are obtained. |
| ArticleNumber | 113587 |
| Author | Szlapczynski, Rafal Granado, Igor Hernando, Leticia Fernandes-Salvador, Jose A. Szlapczynska, Joanna |
| Author_xml | – sequence: 1 givenname: Igor orcidid: 0000-0001-9396-6709 surname: Granado fullname: Granado, Igor email: igranado@azti.es organization: AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain – sequence: 2 givenname: Joanna orcidid: 0000-0001-5182-4526 surname: Szlapczynska fullname: Szlapczynska, Joanna organization: Gdansk University of Technology, Faculty of Electronics, Telecommunication and Informatics, Poland – sequence: 3 givenname: Rafal orcidid: 0000-0002-5985-4006 surname: Szlapczynski fullname: Szlapczynski, Rafal organization: Gdansk University of Technology, Faculty of Mechanical Engineering and Ship Technology, Poland – sequence: 4 givenname: Leticia orcidid: 0000-0003-2828-0748 surname: Hernando fullname: Hernando, Leticia organization: University of the Basque Country UPV/EHU, Leioa, Spain – sequence: 5 givenname: Jose A. orcidid: 0000-0003-4677-6077 surname: Fernandes-Salvador fullname: Fernandes-Salvador, Jose A. organization: AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Spain |
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| Cites_doi | 10.1016/j.asoc.2024.112155 10.1111/itor.13373 10.1109/TEVC.2007.892759 10.1109/TEVC.2017.2737781 10.1016/j.asoc.2019.105742 10.1016/j.ejor.2008.07.015 10.1016/j.ejor.2023.07.009 10.1016/j.asoc.2023.110142 10.1002/nav.3800020106 10.1007/s00500-016-2099-9 10.1016/j.asoc.2023.111028 10.1111/j.1523-1739.2011.01817.x 10.1016/j.asoc.2022.109980 10.1109/TEVC.2010.2041060 10.1109/TEVC.2024.3496507 10.1016/j.cor.2014.10.012 10.1016/j.cor.2015.04.009 10.1016/j.cor.2024.106891 10.1111/j.2517-6161.1958.tb00299.x 10.1021/acsenvironau.3c00013 10.1016/j.neucom.2020.01.114 10.1016/j.engappai.2018.08.015 10.1016/S0377-2217(96)00194-4 10.1016/j.fishres.2021.106139 10.1007/s00158-009-0460-7 10.1109/TEVC.2008.925798 10.1016/j.asoc.2023.111065 10.1016/j.asoc.2024.112019 10.1016/j.asoc.2024.112128 |
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| Keywords | User preferences Decision support system Evolutionary multi-objective optimization Multi-objective combinatorial optimization Fishing routing |
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| References | Qamar, Akhtar, Younas (bib33) 2018; 9 Li (bib25) 2024 Marler, Arora (bib29) 2010; 41 CMEMS (bib6) 2016 Bonfil (bib4) 2009 Vianna, Arroyo (bib42) 2004 Szlapczynski, Szlapczynska (bib39) 2021; 63 Li, Zhang (bib27) 2009; 13 Fang, Liu, Gu (bib11) 2024; 166 Scheffé (bib36) 1958; 20 Legrand, Cattaruzza, Jourdan, Kessaci (bib24) 2025; 32 Bowditch (bib5) 1975; 2 Gerrodette, Olson, Reilly, Watters, Perrin (bib13) 2012; 26 Luss, Rosenwein (bib28) 1997; 97 Molina, Santana, Hernández-Díaz, Coello Coello, Caballero (bib30) 2009; 197 Wang, Su, Lin, Ma, Gong, Li, Ming (bib44) 2020; 408 Granado, Hernando, Galparsoro, Gabiña, Groba, Prellezo, Fernandes (bib15) 2021; 320 IOTC. (2019). Younis, Dong (bib46) 2024; 150 . NASA/JPL (bib31) 2015 Karthika, Rathika (bib23) 2024; 150 Palenzuela, Vilas, Spyrakos, Rodriguez (bib32) 2010 Waldock, Corne (bib43) 2011 Uribe, Herrán, Colmenar (bib40) 2024; 163 Uriondo, Fernandes-Salvador, Reite, Quincoces, Pazouki (bib41) 2024; 4 Cui, Geng, Zhu, Han (bib10) 2017; 125 Restrepo, Dagorn, Moreno (bib35) 2016 CMEMS (bib8) 2019 Zhang, Liu, Li (bib48) 2009 Compagno (bib9) 1984 Jameel, Abouhawwash (bib22) 2024; 164 Granado, Silva, Carravilla, Oliveira, Hernando, Fernandes-Salvador (bib17) 2025; 174 Qi, Hou, Li, Huang, Li (bib34) 2015; 62 Xu, Li, Li (bib45) 2023; 134 Szlapczynska, Szlapczynski (bib37) 2019; 84 Bakır, Kahraman, Yılmaz, Duman, Guvenc (bib1) 2024; 166 CMEMS (bib7) 2019 Groba, Sartal, Vázquez (bib19) 2018; 76 Goikoetxea, Goikoetxea, Fernandes-salvador, Goñi, Granado, Ibaibarriaga, Ruiz, Murua, Caballero (bib14) 2024; 81 Ben Said, Bechikh, Ghedira (bib3) 2010; 14 Granado, Hernando, Uriondo, Fernandes-Salvador (bib16) 2024; 312 Zhang, Li (bib47) 2007; 11 Li, Deb, Yao (bib26) 2018; 22 Gass, Saaty (bib12) 1955; 2 Szlapczynski, Szlapczynska, Vettor (bib38) 2023; 138 Basurko, Gabiña, Lopez, Granado, Murua, Fernandes, Krug, Ruiz, Uriondo (bib2) 2022; 245 Hu, Yu, Zheng, Zou (bib20) 2017; 21 Groba, Sartal, Vázquez (bib18) 2015; 56 Compagno (10.1016/j.asoc.2025.113587_bib9) 1984 Granado (10.1016/j.asoc.2025.113587_bib15) 2021; 320 Gass (10.1016/j.asoc.2025.113587_bib12) 1955; 2 Goikoetxea (10.1016/j.asoc.2025.113587_bib14) 2024; 81 Legrand (10.1016/j.asoc.2025.113587_bib24) 2025; 32 Molina (10.1016/j.asoc.2025.113587_bib30) 2009; 197 Restrepo (10.1016/j.asoc.2025.113587_bib35) 2016 Bakır (10.1016/j.asoc.2025.113587_bib1) 2024; 166 Xu (10.1016/j.asoc.2025.113587_bib45) 2023; 134 Groba (10.1016/j.asoc.2025.113587_bib19) 2018; 76 Uriondo (10.1016/j.asoc.2025.113587_bib41) 2024; 4 Qi (10.1016/j.asoc.2025.113587_bib34) 2015; 62 Bonfil (10.1016/j.asoc.2025.113587_bib4) 2009 Luss (10.1016/j.asoc.2025.113587_bib28) 1997; 97 Wang (10.1016/j.asoc.2025.113587_bib44) 2020; 408 Scheffé (10.1016/j.asoc.2025.113587_bib36) 1958; 20 Karthika (10.1016/j.asoc.2025.113587_bib23) 2024; 150 Granado (10.1016/j.asoc.2025.113587_bib16) 2024; 312 NASA/JPL (10.1016/j.asoc.2025.113587_bib31) 2015 Basurko (10.1016/j.asoc.2025.113587_bib2) 2022; 245 Szlapczynska (10.1016/j.asoc.2025.113587_bib37) 2019; 84 Younis (10.1016/j.asoc.2025.113587_bib46) 2024; 150 Zhang (10.1016/j.asoc.2025.113587_bib48) 2009 Palenzuela (10.1016/j.asoc.2025.113587_bib32) 2010 Gerrodette (10.1016/j.asoc.2025.113587_bib13) 2012; 26 CMEMS (10.1016/j.asoc.2025.113587_bib6) 2016 Groba (10.1016/j.asoc.2025.113587_bib18) 2015; 56 Marler (10.1016/j.asoc.2025.113587_bib29) 2010; 41 Szlapczynski (10.1016/j.asoc.2025.113587_bib39) 2021; 63 Granado (10.1016/j.asoc.2025.113587_bib17) 2025; 174 Waldock (10.1016/j.asoc.2025.113587_bib43) 2011 Bowditch (10.1016/j.asoc.2025.113587_bib5) 1975; 2 10.1016/j.asoc.2025.113587_bib21 Cui (10.1016/j.asoc.2025.113587_bib10) 2017; 125 Vianna (10.1016/j.asoc.2025.113587_bib42) 2004 CMEMS (10.1016/j.asoc.2025.113587_bib8) 2019 Li (10.1016/j.asoc.2025.113587_bib25) 2024 Li (10.1016/j.asoc.2025.113587_bib26) 2018; 22 Li (10.1016/j.asoc.2025.113587_bib27) 2009; 13 Ben Said (10.1016/j.asoc.2025.113587_bib3) 2010; 14 Uribe (10.1016/j.asoc.2025.113587_bib40) 2024; 163 CMEMS (10.1016/j.asoc.2025.113587_bib7) 2019 Hu (10.1016/j.asoc.2025.113587_bib20) 2017; 21 Qamar (10.1016/j.asoc.2025.113587_bib33) 2018; 9 Jameel (10.1016/j.asoc.2025.113587_bib22) 2024; 164 Zhang (10.1016/j.asoc.2025.113587_bib47) 2007; 11 Fang (10.1016/j.asoc.2025.113587_bib11) 2024; 166 Szlapczynski (10.1016/j.asoc.2025.113587_bib38) 2023; 138 |
| References_xml | – volume: 26 start-page: 248 year: 2012 end-page: 256 ident: bib13 article-title: Ecological Metrics of Biomass Removed by Three Methods of Purse-Seine Fishing for Tunas in the Eastern Tropical Pacific Ocean publication-title: Conserv. Biol. – year: 2019 ident: bib7 article-title: Global Ocean Biogeochemistry Analysis and Forecast – year: 2015 ident: bib31 article-title: GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1) – volume: 9 year: 2018 ident: bib33 article-title: Comparative Analysis of Evolutionary Algorithms for Multi-Objective Travelling Salesman Problem publication-title: IJACSA) Int. J. Adv. Comput. Sci. Appl. – volume: 41 start-page: 853 year: 2010 end-page: 862 ident: bib29 article-title: The weighted sum method for multi-objective optimization: New insights publication-title: Struct. Multidiscip. Optim. – volume: 14 start-page: 801 year: 2010 end-page: 818 ident: bib3 article-title: The r-Dominance: A New Dominance Relation for Interactive Evolutionary Multicriteria Decision Making publication-title: IEEE Trans. Evolut. Comput. – volume: 2 year: 1975 ident: bib5 publication-title: American Practical Navigator: an epitome of navigation – volume: 76 start-page: 55 year: 2018 end-page: 66 ident: bib19 article-title: Integrating forecasting in metaheuristic methods to solve dynamic routing problems: Evidence from the logistic processes of tuna vessels publication-title: Eng. Appl. Artif. Intell. – volume: 32 start-page: 117 year: 2025 end-page: 143 ident: bib24 article-title: Improving neighborhood exploration into MOEA/D framework to solve a bi-objective routing problem publication-title: Int. Trans. Oper. Res. – volume: 81 year: 2024 ident: bib14 article-title: Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery publication-title: Ecol. Inform. – volume: 312 start-page: 718 year: 2024 end-page: 732 ident: bib16 article-title: A fishing route optimization decision support system: The case of the tuna purse seiner publication-title: Eur. J. Oper. Res. – volume: 197 start-page: 685 year: 2009 end-page: 692 ident: bib30 article-title: g-dominance: Reference point based dominance for multiobjective metaheuristics publication-title: Eur. J. Oper. Res. – volume: 166 year: 2024 ident: bib1 article-title: Dynamic switched crowding-based multi-objective particle swarm optimization algorithm for solving multi-objective AC-DC optimal power flow problem publication-title: Appl. Soft Comput. – volume: 150 year: 2024 ident: bib46 article-title: Adaptive surrogate assisted multi-objective optimization approach for highly nonlinear and complex engineering design problems publication-title: Appl. Soft Comput. – year: 2024 ident: bib25 article-title: A Survey of Multi-objective Evolutionary Algorithm Based on Decomposition: Past and Future publication-title: IEEE Trans. Evolut. Comput. – volume: 163 year: 2024 ident: bib40 article-title: A GRASP method for the Bi-Objective Multiple Row Equal Facility Layout Problem publication-title: Appl. Soft Comput. – volume: 56 start-page: 22 year: 2015 end-page: 32 ident: bib18 article-title: Solving the dynamic traveling salesman problem using a genetic algorithm with trajectory prediction: An application to fish aggregating devices publication-title: Comput. Oper. Res. – volume: 84 year: 2019 ident: bib37 article-title: Preference-based evolutionary multi-objective optimization in ship weather routing publication-title: Appl. Soft Comp. – volume: 20 start-page: 344 year: 1958 end-page: 360 ident: bib36 article-title: Experiments with mixtures publication-title: J. R. Stat. Soc. – start-page: 203 year: 2009 end-page: 208 ident: bib48 article-title: The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances publication-title: 2009 IEEE Congress on Evolutionary Computation – volume: 2 start-page: 39 year: 1955 end-page: 45 ident: bib12 article-title: The computational algorithm for the parametric objective function publication-title: Nav. Res. Logist. Q. – start-page: 1827 year: 2011 end-page: 1834 ident: bib43 article-title: Multiple objective optimisation applied to route planning publication-title: Proc. 13th Annu. Conf. Genet. Evolut. Comput. – volume: 11 start-page: 712 year: 2007 end-page: 731 ident: bib47 article-title: MOEA/D: A multiobjective evolutionary algorithm based on decomposition publication-title: IEEE Trans. Evolut. Comput. – volume: 150 year: 2024 ident: bib23 article-title: An adaptive data compression technique based on optimal thresholding using multi-objective PSO algorithm for power system data publication-title: Appl. Soft Comput. – year: 2010 ident: bib32 article-title: Routing optimization using neural networks and oceanographic models from remote sensing data publication-title: Proc. 1st Int. Symp Fish. Vessel Energy Effic. EFish. May 1820. – volume: 134 year: 2023 ident: bib45 article-title: A discrete teaching–learning based optimization algorithm with local search for rescue task allocation and scheduling publication-title: Appl. Soft Comput. – volume: 62 start-page: 61 year: 2015 end-page: 77 ident: bib34 article-title: A decomposition based memetic algorithm for multi-objective vehicle routing problem with time windows publication-title: Comput. Oper. Res. – start-page: 69 year: 2004 end-page: 75 ident: bib42 article-title: A GRASP algorithm for the multi-objective knapsack problem publication-title: Proceedings - International Conference of the Chilean Computer Science Society – reference: IOTC. (2019). – volume: 320 year: 2021 ident: bib15 article-title: Towards a framework for fishing route optimization decision support systems: Review of the state-of-the-art and challenges publication-title: J. Clean. Prod. – volume: 125 start-page: 681 year: 2017 end-page: 704 ident: bib10 article-title: Review: Multi-objective optimization methods and application in energy saving publication-title: Energy – start-page: 114 year: 2009 end-page: 127 ident: bib4 article-title: The Biology and Ecology of the Silky Shark, Carcharhinus falciformis publication-title: Sharks of the Open Ocean: Biology, Fisheries and Conservation – volume: 63 year: 2021 ident: bib39 article-title: W-dominance: Tradeoff-inspired dominance relation for preference-based evolutionary multi-objective optimization publication-title: Swarm Evolut. Comput. – volume: 166 year: 2024 ident: bib11 article-title: A constrained multi-objective evolutionary algorithm based on fitness landscape indicator publication-title: Appl. Soft Comput. – volume: 21 start-page: 5025 year: 2017 end-page: 5051 ident: bib20 article-title: A preference-based multi-objective evolutionary algorithm using preference selection radius publication-title: Soft Comput. – volume: 22 start-page: 821 year: 2018 end-page: 835 ident: bib26 article-title: R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points publication-title: IEEE Trans. Evolut. Comput. – volume: 245 year: 2022 ident: bib2 article-title: Fuel consumption of free-swimming school versus FAD strategies in tropical tuna purse seine fishing publication-title: Fish. Res. – volume: 138 year: 2023 ident: bib38 article-title: Ship weather routing featuring w-MOEA/D and uncertainty handling publication-title: Appl. Soft Comput. – volume: 13 start-page: 284 year: 2009 end-page: 302 ident: bib27 article-title: Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II publication-title: IEEE Trans. Evolut. Comput. – volume: 408 start-page: 308 year: 2020 end-page: 330 ident: bib44 article-title: A survey of decomposition approaches in multiobjective evolutionary algorithms publication-title: Neurocomputing – reference: . – year: 2016 ident: bib35 article-title: Mitigation of Silky Shark Bycatch in Tropical Tuna Purse Seine Fisheries – year: 1984 ident: bib9 article-title: FAO species catalogue. Vol. 4. Sharks of the world. An annotated and illustrated catalogue of shark species known to date. Part 1. Hexanchiformes to Lamniformes – volume: 164 year: 2024 ident: bib22 article-title: Revolutionizing optimization: An innovative nutcracker optimizer for single and multi-objective problems publication-title: Appl. Soft Comput. – year: 2019 ident: bib8 article-title: Global Ocean Waves Analysis and Forecast – volume: 174 year: 2025 ident: bib17 article-title: A GRASP-based multi-objective approach for the tuna purse seine fishing fleet routing problem publication-title: Comput. Oper. Res. – volume: 4 start-page: 142 year: 2024 end-page: 151 ident: bib41 article-title: Toward Digitalization of Fishing Vessels to Achieve Higher Environmental and Economic Sustainability publication-title: ACS Environ. Au – volume: 97 start-page: 220 year: 1997 end-page: 244 ident: bib28 article-title: Operations Research applications: Opportunities and accomplishments publication-title: Eur. J. Oper. Res. – year: 2016 ident: bib6 article-title: Global Ocean 1/12 Physics Analysis and Forecast updated Daily – volume: 166 year: 2024 ident: 10.1016/j.asoc.2025.113587_bib1 article-title: Dynamic switched crowding-based multi-objective particle swarm optimization algorithm for solving multi-objective AC-DC optimal power flow problem publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2024.112155 – volume: 32 start-page: 117 issue: 1 year: 2025 ident: 10.1016/j.asoc.2025.113587_bib24 article-title: Improving neighborhood exploration into MOEA/D framework to solve a bi-objective routing problem publication-title: Int. Trans. Oper. Res. doi: 10.1111/itor.13373 – volume: 125 start-page: 681 year: 2017 ident: 10.1016/j.asoc.2025.113587_bib10 article-title: Review: Multi-objective optimization methods and application in energy saving – volume: 11 start-page: 712 issue: 6 year: 2007 ident: 10.1016/j.asoc.2025.113587_bib47 article-title: MOEA/D: A multiobjective evolutionary algorithm based on decomposition publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2007.892759 – year: 1984 ident: 10.1016/j.asoc.2025.113587_bib9 – volume: 22 start-page: 821 issue: 6 year: 2018 ident: 10.1016/j.asoc.2025.113587_bib26 article-title: R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2017.2737781 – volume: 84 year: 2019 ident: 10.1016/j.asoc.2025.113587_bib37 article-title: Preference-based evolutionary multi-objective optimization in ship weather routing publication-title: Appl. Soft Comp. doi: 10.1016/j.asoc.2019.105742 – volume: 197 start-page: 685 issue: 2 year: 2009 ident: 10.1016/j.asoc.2025.113587_bib30 article-title: g-dominance: Reference point based dominance for multiobjective metaheuristics publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2008.07.015 – volume: 312 start-page: 718 issue: 2 year: 2024 ident: 10.1016/j.asoc.2025.113587_bib16 article-title: A fishing route optimization decision support system: The case of the tuna purse seiner publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2023.07.009 – volume: 138 year: 2023 ident: 10.1016/j.asoc.2025.113587_bib38 article-title: Ship weather routing featuring w-MOEA/D and uncertainty handling publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2023.110142 – ident: 10.1016/j.asoc.2025.113587_bib21 – volume: 9 issue: 2 year: 2018 ident: 10.1016/j.asoc.2025.113587_bib33 article-title: Comparative Analysis of Evolutionary Algorithms for Multi-Objective Travelling Salesman Problem publication-title: IJACSA) Int. J. Adv. Comput. Sci. Appl. – volume: 2 start-page: 39 issue: 1–2 year: 1955 ident: 10.1016/j.asoc.2025.113587_bib12 article-title: The computational algorithm for the parametric objective function publication-title: Nav. Res. Logist. Q. doi: 10.1002/nav.3800020106 – volume: 21 start-page: 5025 issue: 17 year: 2017 ident: 10.1016/j.asoc.2025.113587_bib20 article-title: A preference-based multi-objective evolutionary algorithm using preference selection radius publication-title: Soft Comput. doi: 10.1007/s00500-016-2099-9 – volume: 150 year: 2024 ident: 10.1016/j.asoc.2025.113587_bib23 article-title: An adaptive data compression technique based on optimal thresholding using multi-objective PSO algorithm for power system data publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2023.111028 – year: 2010 ident: 10.1016/j.asoc.2025.113587_bib32 article-title: Routing optimization using neural networks and oceanographic models from remote sensing data publication-title: Proc. 1st Int. Symp Fish. Vessel Energy Effic. EFish. May 1820. – volume: 26 start-page: 248 issue: 2 year: 2012 ident: 10.1016/j.asoc.2025.113587_bib13 article-title: Ecological Metrics of Biomass Removed by Three Methods of Purse-Seine Fishing for Tunas in the Eastern Tropical Pacific Ocean publication-title: Conserv. Biol. doi: 10.1111/j.1523-1739.2011.01817.x – volume: 134 year: 2023 ident: 10.1016/j.asoc.2025.113587_bib45 article-title: A discrete teaching–learning based optimization algorithm with local search for rescue task allocation and scheduling publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2022.109980 – volume: 14 start-page: 801 issue: 5 year: 2010 ident: 10.1016/j.asoc.2025.113587_bib3 article-title: The r-Dominance: A New Dominance Relation for Interactive Evolutionary Multicriteria Decision Making publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2010.2041060 – year: 2024 ident: 10.1016/j.asoc.2025.113587_bib25 article-title: A Survey of Multi-objective Evolutionary Algorithm Based on Decomposition: Past and Future publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2024.3496507 – volume: 56 start-page: 22 year: 2015 ident: 10.1016/j.asoc.2025.113587_bib18 article-title: Solving the dynamic traveling salesman problem using a genetic algorithm with trajectory prediction: An application to fish aggregating devices publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2014.10.012 – volume: 62 start-page: 61 year: 2015 ident: 10.1016/j.asoc.2025.113587_bib34 article-title: A decomposition based memetic algorithm for multi-objective vehicle routing problem with time windows publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2015.04.009 – volume: 2 year: 1975 ident: 10.1016/j.asoc.2025.113587_bib5 – start-page: 69 year: 2004 ident: 10.1016/j.asoc.2025.113587_bib42 article-title: A GRASP algorithm for the multi-objective knapsack problem – volume: 174 year: 2025 ident: 10.1016/j.asoc.2025.113587_bib17 article-title: A GRASP-based multi-objective approach for the tuna purse seine fishing fleet routing problem publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2024.106891 – volume: 20 start-page: 344 issue: 2 year: 1958 ident: 10.1016/j.asoc.2025.113587_bib36 article-title: Experiments with mixtures publication-title: J. R. Stat. Soc. doi: 10.1111/j.2517-6161.1958.tb00299.x – year: 2019 ident: 10.1016/j.asoc.2025.113587_bib7 – volume: 4 start-page: 142 issue: 3 year: 2024 ident: 10.1016/j.asoc.2025.113587_bib41 article-title: Toward Digitalization of Fishing Vessels to Achieve Higher Environmental and Economic Sustainability publication-title: ACS Environ. Au doi: 10.1021/acsenvironau.3c00013 – volume: 408 start-page: 308 year: 2020 ident: 10.1016/j.asoc.2025.113587_bib44 article-title: A survey of decomposition approaches in multiobjective evolutionary algorithms publication-title: Neurocomputing doi: 10.1016/j.neucom.2020.01.114 – volume: 76 start-page: 55 issue: September year: 2018 ident: 10.1016/j.asoc.2025.113587_bib19 article-title: Integrating forecasting in metaheuristic methods to solve dynamic routing problems: Evidence from the logistic processes of tuna vessels publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2018.08.015 – volume: 320 issue: February year: 2021 ident: 10.1016/j.asoc.2025.113587_bib15 article-title: Towards a framework for fishing route optimization decision support systems: Review of the state-of-the-art and challenges publication-title: J. Clean. Prod. – volume: 97 start-page: 220 issue: 2 year: 1997 ident: 10.1016/j.asoc.2025.113587_bib28 article-title: Operations Research applications: Opportunities and accomplishments publication-title: Eur. J. Oper. Res. doi: 10.1016/S0377-2217(96)00194-4 – year: 2015 ident: 10.1016/j.asoc.2025.113587_bib31 – year: 2016 ident: 10.1016/j.asoc.2025.113587_bib35 – volume: 245 year: 2022 ident: 10.1016/j.asoc.2025.113587_bib2 article-title: Fuel consumption of free-swimming school versus FAD strategies in tropical tuna purse seine fishing publication-title: Fish. Res. doi: 10.1016/j.fishres.2021.106139 – start-page: 1827 year: 2011 ident: 10.1016/j.asoc.2025.113587_bib43 article-title: Multiple objective optimisation applied to route planning publication-title: Proc. 13th Annu. Conf. Genet. Evolut. Comput. – start-page: 203 year: 2009 ident: 10.1016/j.asoc.2025.113587_bib48 article-title: The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances – volume: 41 start-page: 853 issue: 6 year: 2010 ident: 10.1016/j.asoc.2025.113587_bib29 article-title: The weighted sum method for multi-objective optimization: New insights publication-title: Struct. Multidiscip. Optim. doi: 10.1007/s00158-009-0460-7 – volume: 13 start-page: 284 issue: 2 year: 2009 ident: 10.1016/j.asoc.2025.113587_bib27 article-title: Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2008.925798 – year: 2016 ident: 10.1016/j.asoc.2025.113587_bib6 – volume: 163 issue: May year: 2024 ident: 10.1016/j.asoc.2025.113587_bib40 article-title: A GRASP method for the Bi-Objective Multiple Row Equal Facility Layout Problem publication-title: Appl. Soft Comput. – volume: 150 year: 2024 ident: 10.1016/j.asoc.2025.113587_bib46 article-title: Adaptive surrogate assisted multi-objective optimization approach for highly nonlinear and complex engineering design problems publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2023.111065 – volume: 164 year: 2024 ident: 10.1016/j.asoc.2025.113587_bib22 article-title: Revolutionizing optimization: An innovative nutcracker optimizer for single and multi-objective problems publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2024.112019 – start-page: 114 year: 2009 ident: 10.1016/j.asoc.2025.113587_bib4 article-title: The Biology and Ecology of the Silky Shark, Carcharhinus falciformis – year: 2019 ident: 10.1016/j.asoc.2025.113587_bib8 – volume: 81 issue: February year: 2024 ident: 10.1016/j.asoc.2025.113587_bib14 article-title: Machine-learning aiding sustainable Indian Ocean tuna purse seine fishery publication-title: Ecol. Inform. – volume: 166 year: 2024 ident: 10.1016/j.asoc.2025.113587_bib11 article-title: A constrained multi-objective evolutionary algorithm based on fitness landscape indicator publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2024.112128 – volume: 63 issue: March year: 2021 ident: 10.1016/j.asoc.2025.113587_bib39 article-title: W-dominance: Tradeoff-inspired dominance relation for preference-based evolutionary multi-objective optimization publication-title: Swarm Evolut. Comput. |
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