Výsledky vyhľadávania - "constrained multi-objective evolution algorithms"

Constrained multi-objective optimization of short-term crude oil scheduling with dual pipelines and charging tank maintenance requirement.

Autori: Hou, Yan Zhang, YiXian Wu, NaiQi a ďalší

Zdroj: Information Sciences. Apr2022, Vol. 588, p381-404. 24p.

Predmety: *PETROLEUM, *CONSTRAINED optimization, *METAHEURISTIC algorithms, *SCHEDULING, *PROBLEM solving

A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio.

Autori: Yang, Yongkuan Liu, Jianchang Tan, Shubin a ďalší

Zdroj: Applied Soft Computing. Jul2019, Vol. 80, p42-56. 15p.

Predmety: Multi-objective optimization, Evolutionary algorithms, Constrained optimization, Problem solving, Search engines, Differential evolution

Multi-Objective Optimization System Designs and Their Applications

Autori: Bor-Sen Chen

Typ zdroja: eBook.

Predmet: Mathematical optimization--Data processing

Kategórie: TECHNOLOGY & ENGINEERING / Electrical

A partition-based constrained multi-objective evolutionary algorithm.

Autori: Yang, Yongkuan Liu, Jianchang Tan, Shubin

Zdroj: Swarm & Evolutionary Computation. Oct2021, Vol. 66, pN.PAG-N.PAG. 1p.

Predmety: Evolutionary algorithms, Benchmark problems (Computer science), Constrained optimization, Parallel algorithms, Differential evolution, Algorithms, Bilevel programming

A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio

Autori: Yongkuan Yang Jianchang Liu Shubin Tan a ďalší

Zdroj: Applied Soft Computing. 80:42-56

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S156849461930105X
https://doi.org/10.1016/j.asoc.2019.02.041
https://dblp.uni-trier.de/db/journals/asc/asc80.html#YangLTW19

A partition-based constrained multi-objective evolutionary algorithm

Autori: Yongkuan Yang Shubin Tan Jianchang Liu

Zdroj: Swarm and Evolutionary Computation. 66:100940

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/journals/swevo/swevo66.html#YangLT21
https://www.sciencedirect.com/science/article/pii/S2210650221001012