Suchergebnisse - (dynamic OR dynamik) constrained multiobjective evolution algorithm~

Dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement

Autoren: Che, Wang Zheng, Jinhua Hu, Yaru et al.

Schlagwörter: Dynamic constrained multiobjective optimization, Evolutionary algorithms, Co-evolution, Change response strategy

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/2086/23991; https://doi.org/10.1016/j.swevo.2024.101639

Verfügbarkeit: https://hdl.handle.net/2086/23991
https://doi.org/10.1016/j.swevo.2024.101639

A Multiobjective Optimization Algorithm for Fluid Catalytic Cracking Process with Constraints and Dynamic Environments.

Autoren: Liu, Guanzhi Pang, Xinfu Wan, Jishen

Quelle: Mathematics (2227-7390). Jul2024, Vol. 12 Issue 14, p2285. 17p.

Schlagwörter: *OPTIMIZATION algorithms, *CONSTRAINED optimization, *MATHEMATICAL models, *PROBLEM solving, *ALGORITHMS

A dual-population co-evolution algorithm with balanced environmental selection for constrained multimodal multiobjective optimization problems.

Autoren: Wu, FuLong Sun, Yu

Quelle: Swarm & Evolutionary Computation. Apr2025, Vol. 94, pN.PAG-N.PAG. 1p.

Schlagwörter: Multi-objective optimization, Evolutionary algorithms, Mate selection, Coevolution, Genetic speciation, Differential evolution

An individual adaptive evolution and regional collaboration based evolutionary algorithm for large-scale constrained multiobjective optimization problems.

Autoren: Yu, Kunjie Yang, Zhenyu Liang, Jing et al.

Quelle: Swarm & Evolutionary Computation. Jun2025, Vol. 95, pN.PAG-N.PAG. 1p.

Schlagwörter: Multi-objective optimization, Biological evolution, Constrained optimization, Algorithms, Differential evolution, Evolutionary algorithms

Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution.

Autoren: Yu, Kunjie Liang, Jing Qu, Boyang et al.

Quelle: IEEE Transactions on Systems, Man & Cybernetics. Systems. May2022, Vol. 52 Issue 5, p2954-2965. 12p.

Schlagwörter: *SEARCH algorithms, DIFFERENTIAL evolution, EVOLUTIONARY algorithms, BENCHMARK problems (Computer science), CONSTRAINED optimization, CONSTRAINT satisfaction

Multi-population evolution based dynamic constrained multiobjective optimization under diverse changing environments

Autoren: Chen, Qingda Ding, Jinliang Yen, Gary G. et al.

Schlagwörter: Dynamic constrained multiobjective optimization, tribe classification operator, population selection, dynamic response

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/2086/22500; https://doi.org/10.1109/TEVC.2023.3241762

Verfügbarkeit: https://hdl.handle.net/2086/22500
https://doi.org/10.1109/TEVC.2023.3241762

Dynamic environmental economic dispatch using multiobjective differential evolution algorithm with expanded double selection and adaptive random restart

Autoren: Yongchuan Zhang Xingwen Jiang Jianzhong Zhou et al.

Quelle: International Journal of Electrical Power & Energy Systems. 49:399-407

Schlagwörter: 13. Climate action, 9. Industry and infrastructure, 8. Economic growth, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S0142061513000379

Dynamic grid-based uniform search for solving constrained multiobjective optimization problems.

Autoren: Yuan, Jiawei

Quelle: Memetic Computing; Dec2021, Vol. 13 Issue 4, p497-508, 12p

Precision-engineered mRNA vaccines: antigen design, structural optimization, and programmable delivery for emerging pathogens.

Autoren: Zhang, Yanyu Li, Junchi Wang, Zihan et al.

Quelle: Animal Diseases. 8/15/2025, Vol. 5 Issue 1, p1-21. 21p.

Schlagworte: Structural optimization, Vaccine development, Vaccination, Pandemic preparedness, Vaccine manufacturing, Vaccines, Emerging infectious diseases

Optimization of Maize Irrigation Strategies in the Middle Reaches Irrigation Area of the Heihe River Using a Differential Evolution Algorithm.

Autoren: Jia, Lige Zhang, Bo Cui, Yanqiang

Quelle: Water (20734441); Dec2024, Vol. 16 Issue 24, p3561, 20p

Schlagwörter: WATER efficiency, WATER management, DIFFERENTIAL evolution, ARID regions, WATER use

Classification of Clinical Outcomes in Hospitalized Asian Elephants Using Machine Learning and Survival Analysis: A Retrospective Study (2019–2024).

Autoren: Kosaruk, Worapong Punyapornwithaya, Veerasak Ueangpaiboon, Pichamon et al.

Quelle: Veterinary Sciences. Oct2025, Vol. 12 Issue 10, p998. 16p.

Comparative Evaluation of the Application Effectiveness of Intelligent Production Optimization Methods in Offshore Oil Reservoirs.

Autoren: Liu, Chen Feng, Qihong Zhang, Kai et al.

Quelle: Water (20734441); Jun2024, Vol. 16 Issue 12, p1732, 15p

Schlagwörter: DIFFERENTIAL evolution, PETROLEUM reservoirs, EVOLUTIONARY computation, OPTIMIZATION algorithms, EVOLUTIONARY algorithms, PRODUCTION methods, PETROLEUM in submerged lands, ARTIFICIAL intelligence

A two-stage dominance-based surrogate-assisted evolution algorithm for high-dimensional expensive multi-objective optimization.

Autoren: Yu M Wang Z Dai R et al.

Quelle: Scientific reports [Sci Rep] 2023 Aug 13; Vol. 13 (1), pp. 13163. Date of Electronic Publication: 2023 Aug 13.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Adaptive constraint handling technique selection for constrained multi-objective optimization.

Autoren: Wang, Chao Liu, Zhihao Qiu, Jianfeng et al.

Quelle: Swarm & Evolutionary Computation. Apr2024, Vol. 86, pN.PAG-N.PAG. 1p.

Schlagwörter: Deep reinforcement learning, Evolutionary algorithms, Reinforcement learning, Evidence gaps

Optimal design for passive suspension of a light rail vehicle using constrained multiobjective evolutionary search

Autoren: Shieh, Niahn-Chung Lin, Chun-Liang Lin, Yu-Chen et al.

Quelle: Journal of Sound & Vibration. Jul2005, Vol. 285 Issue 1/2, p407-424. 18p.

Schlagwörter: *VEHICLES, *MATHEMATICAL optimization, *ALGORITHMS, *FOUNDATIONS of arithmetic

Kernel extreme learning with harmonized bat algorithm for prediction of pyrene toxicity in rats.

Autoren: Su H Zhao D Heidari AA et al.

Quelle: Basic & clinical pharmacology & toxicology [Basic Clin Pharmacol Toxicol] 2024 Feb; Vol. 134 (2), pp. 250-271. Date of Electronic Publication: 2023 Dec 05.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Blackwell Country of Publication: England NLM ID: 101208422 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1742-7843 (Electronic) Linking ISSN: 17427835 NLM ISO Abbreviation: Basic Clin Pharmacol Toxicol Subsets: MEDLINE

MeSH-Schlagworte: Algorithms* , Polycyclic Aromatic Hydrocarbons*/toxicity, Humans ; Animals ; Rats ; Pyrenes/toxicity

Stock portfolio optimization based on factor analysis and second-order memetic differential evolution algorithm.

Autoren: Han, Ning Chen, Yinnan Ye, Lingjuan et al.

Quelle: Memetic Computing; Mar2024, Vol. 16 Issue 1, p29-44, 16p

Density-Enhanced Multiobjective Evolutionary Approach for Power Economic Dispatch Problems.

Autoren: Ji, Jing-Yu Yu, Wei-Jie Zhong, Jinghui et al.

Quelle: IEEE Transactions on Systems, Man & Cybernetics. Systems. Apr2021, Vol. 51 Issue 4, p2054-2067. 14p.

Schlagwörter: *MATHEMATICAL optimization, *PROBLEM solving, BENCHMARK problems (Computer science), COST functions, DIFFERENTIAL evolution

Dual-clustering-based Two-population Co-evolutionary Algorithm for segmentation coding in flash memory.

Autoren: Luo, Jianjun Chen, Menghao Huang, Boming et al.

Quelle: Engineering Applications of Artificial Intelligence. May2025, Vol. 147, pN.PAG-N.PAG. 1p.

Schlagwörter: *CLUSTERING algorithms, *MULTI-objective optimization, *BIT error rate, *DATA recovery, *ALGORITHMS

Epsilon-multiobjective particle swarm optimization-based tuning of sensitivity functions for polynomial control design.

Autoren: Madiouni, Riadh Bouallègue, Soufiene Haggège, Joseph et al.

Quelle: Transactions of the Institute of Measurement & Control. Sep2019, Vol. 41 Issue 13, p3688-3704. 17p.

Schlagwörter: *PARTICLE swarm optimization, *POLE assignment, *CONSTRAINED optimization, *POLYNOMIALS, *DIFFERENTIAL evolution