Search Results - "Indicator-based evolutionary algorithms"

Improved Lebesgue Indicator-Based Evolutionary Algorithm: Reducing Hypervolume Computations

Authors: Saúl Zapotecas-Martínez Abel García-Nájera Adriana Menchaca-Méndez

Source: Mathematics ; Volume 10 ; Issue 1 ; Pages: 19

Subject Terms: multi-objective optimization, Lebesgue measure, indicator-based evolutionary algorithms

File Description: application/pdf

Relation: E2: Control Theory and Mechanics; https://dx.doi.org/10.3390/math10010019

Availability: https://doi.org/10.3390/math10010019

Solving Combinatorial Multi-Objective Bi-Level Optimization Problems Using Multiple Populations and Migration Schemes

Authors: Rihab Said Slim Bechikh Ali Louati et al.

Source: IEEE Access, Vol 8, Pp 141674-141695 (2020)

Subject Terms: indicator-based evolutionary algorithms, population decomposition, Combinatorial bi-level multi-objective optimization, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, computational cost, migration schemes, TK1-9971

Access URL: https://doaj.org/article/53f4db43bb4a44d68c72756b87cd40a0
https://dblp.uni-trier.de/db/journals/access/access8.html#SaidBLAS20
https://ieeexplore.ieee.org/document/9154441/
https://doaj.org/article/53f4db43bb4a44d68c72756b87cd40a0

Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms

Authors: Zhao, J. Basto Fernandes, V. Jiao, L. et al.

Contributors: Zhao, J. Basto Fernandes, V. Jiao, L. et al.

Source: Information Sciences. :80-104

Subject Terms: Evolutionary multiobjective optimization, Anti-spam filters, Convex Hull, Receiver Operator Characteristic, Multiobjective Machine Learning, Data Science, Indicator Based Evolutionary Algorithms, Convex hull, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação, 0202 electrical engineering, electronic engineering, information engineering, Ciências Naturais::Ciências da Computação e da Informação [Domínio/Área Científica], 02 engineering and technology, Classification, ROC analysis, Parsimony

File Description: application/pdf

Access URL: https://repositorio.iscte-iul.pt/bitstream/10071/12775/5/Multiobjective%20optimization.pdf
https://www.sciencedirect.com/science/article/pii/S0020025516303504
https://doi.org/10.1016/j.ins.2016.05.026
https://repositorio.iscte-iul.pt/bitstream/10071/12775/5/Multiobjective%20optimization.pdf
https://scholarlypublications.universiteitleiden.nl/access/item%3A2893201/view
https://dora.dmu.ac.uk/bitstream/2086/12465/1/3dch-emoa.pdf
https://dl.acm.org/doi/10.1016/j.ins.2016.05.026
http://hdl.handle.net/10071/12775
http://hdl.handle.net/http://hdl.handle.net/10400.8/13022
https://hdl.handle.net/1887/47317

Comparative Analysis of Indicators for Multi-objective Diversity Optimization

Authors: Pereverdieva, K.G. Deutz, A.H. Ezendam, T. et al.

Source: Singh, Hemant, Ray, Tapabrata, Knowles, Joshua, Li, Xiaodong, Branke, Juergen, Wang, Bing, Oyama, Akira (Ed.), Evolutionary Multi-Criterion Optimization: 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, p.58-71. Singapore: Springer. [ISBN 978-981-96-3537-5]

Index Terms: Riesz s-Energy, complexity of subset selection, design optimization, diversity indicators, multi-objective optimization, Conferentiebijdrage, Conference contribution

URL: https://research.tue.nl/en/publications/726a3bb2-7fa6-40b9-be1b-1b1d265a531a

A niching indicator-based multi-modal many-objective optimizer.

Authors: Tanabe, Ryoji Ishibuchi, Hisao

Source: Swarm & Evolutionary Computation. Sep2019, Vol. 49, p134-146. 13p.

Subject Terms: Process optimization, Evolutionary algorithms

Multi-objective inventory routing with uncertain demand using population-based metaheuristics.

Authors: Zhiwei Yang Emmerich, Michael Bäck, Thomas et al.

Source: Integrated Computer-Aided Engineering. 2016, Vol. 23 Issue 3, p205-220. 16p.

Subject Terms: *INVENTORY control, *METAHEURISTIC algorithms, *UNCERTAINTY (Information theory), *PROBLEM solving, *BENCHMARKING (Management)

Comparative Analysis of Indicators for Multiobjective Diversity Optimization

Authors: Pereverdieva, Ksenia Deutz, André Ezendam, Tessa et al.

Index Terms: Computer Science - Neural and Evolutionary Computing, Mathematics - Optimization and Control, I.2.8, text

URL: http://arxiv.org/abs/2410.18900

The Two-Archive Multi-Objective Grey Wolf Optimization Algorithm for Truss Structures.

Authors: Tejani, Ghanshyam G. Sharma, Sunil Kumar Mousavirad, Seyed Jalaleddin et al.

Source: International Journal of Computational Intelligence Systems; 10/6/2025, Vol. 18 Issue 1, p1-61, 61p

Maritime Rescue Task Allocation and Sequencing Using MOEA/D with Adaptive Operators and Idle-Time-Aware Decoding Strategy.

Authors: Sun, Jianhua Yu, Suihuai Chu, Jianjie et al.

Source: Journal of Marine Science & Engineering; Aug2025, Vol. 13 Issue 8, p1518, 32p

Subject Terms: SEARCH & rescue operations, MULTI-objective optimization, RESOURCE management, SCHEDULING, DECODING algorithms, MATHEMATICAL optimization

Optimizing Vehicle Placement in the Residual Spaces of Unmarked Parking Areas: A Comparative Study of Heuristic Methods.

Authors: Hüsrevoğlu, Mustafa Janowski, Artur Karkınlı, Ahmet Emin

Source: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 12, p6416, 31p

Subject Terms: PARTICLE swarm optimization, GREY Wolf Optimizer algorithm, SMART parking systems, SWARM intelligence, HEURISTIC algorithms

Improved Lebesgue Indicator-Based Evolutionary Algorithm: Reducing Hypervolume Computations.

Authors: Zapotecas-Martínez, Saúl García-Nájera, Abel Menchaca-Méndez, Adriana

Source: Mathematics (2227-7390); Jan2022, Vol. 10 Issue 1, p19, 1p

Subject Terms: LEBESGUE measure, EVOLUTIONARY algorithms, CONSTRAINED optimization, ROUGH sets, PROBLEM solving

Comparative Analysis of Indicators for Multi-objective Diversity Optimization

Authors: Pereverdieva, Ksenia Deutz, André Ezendam, Tessa et al.

Source: Lecture Notes in Computer Science ; Evolutionary Multi-Criterion Optimization ; page 58-71 ; ISSN 0302-9743 1611-3349 ; ISBN 9789819635375 9789819635382

Availability: https://doi.org/10.1007/978-981-96-3538-2_5
https://link.springer.com/content/pdf/10.1007/978-981-96-3538-2_5

MGDE: a many-objective guided differential evolution with strengthened dominance relation and bi-goal evolution.

Authors: Zouache, Djaafar Ben Abdelaziz, Fouad

Source: Annals of Operations Research; Mar2025, Vol. 346 Issue 2, p1929-1966, 38p

Subject Terms: DIFFERENTIAL evolution, EVOLUTIONARY algorithms, COMPUTATIONAL mathematics, DIFFERENTIAL operators, MATHEMATICAL optimization

HC-MOEA: A hierarchical clustering approach for increasing the solution's diversity in multiobjective evolutionary algorithms.

Authors: Tahernezhad, Kamyab Lari, Kimia Bazargan Hamzeh, Ali et al.

Source: Intelligent Data Analysis; 2015, Vol. 19 Issue 1, p187-208, 22p

Subject Terms: PROGRAM transformation, HIERARCHICAL clustering (Cluster analysis), GENETIC algorithms, PARETO analysis, UTILITY functions, PRINCIPAL components analysis, COMPUTER simulation of biological systems

LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization.

Authors: Zapotecas-Martínez, Saúl López-Jaimes, Antonio García-Nájera, Abel

Source: Swarm & Evolutionary Computation. Feb2019, Vol. 44, p404-419. 16p.

Subject Terms: Particle swarm optimization, Genetic algorithms, Combinatorial optimization, Evolutionary computation, Genetic programming

Fast hypervolume approximation scheme based on a segmentation strategy.

Authors: Tang, Weisen Liu, Hai-Lin Chen, Lei et al.

Source: Information Sciences. Jan2020, Vol. 509, p320-342. 23p.

Subject Terms: *APPROXIMATION algorithms, *MEASUREMENT errors, *MONTE Carlo method, *COMPUTER simulation, *COMPUTATIONAL complexity

Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm

Authors: Zhao, Jiaqi Fernandes, Vitor Basto Jiao, Licheng et al.

Index Terms: Computer Science - Neural and Evolutionary Computing, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1412.5710

A many-objective evolutionary algorithm with adaptive convergence calculation.

Authors: Wang, Mengzhen Ge, Fangzhen Chen, Debao et al.

Source: Applied Intelligence; Jul2023, Vol. 53 Issue 14, p17260-17291, 32p

Subject Terms: POINT processes, EVOLUTIONARY algorithms, SAMPLING (Process)

Multi-objective fitness-dependent optimizer algorithm.

Authors: Abdullah, Jaza M. Rashid, Tarik A. Maaroof, Bestan B. et al.

Source: Neural Computing & Applications; Jun2023, Vol. 35 Issue 16, p11969-11987, 19p

Subject Terms: PARTICLE swarm optimization, EVOLUTIONARY computation, OPTIMIZATION algorithms, GENETIC algorithms, ALGORITHMS, HISTORICAL literacy, DISTRIBUTED algorithms, SWARM intelligence

Adjusting normalization bounds to improve hypervolume based search for expensive multi-objective optimization.

Authors: Wang, Bing Singh, Hemant Kumar Ray, Tapabrata

Source: Complex & Intelligent Systems; Apr2023, Vol. 9 Issue 2, p1193-1209, 17p

Subject Terms: EVOLUTIONARY algorithms, BUILDING performance, BENCHMARK problems (Computer science)