Search Results - subject:"Hybrid evolutionary algorithm"

Mathematical modeling and hybrid evolutionary algorithm to schedule flexible job shop with discrete operation sequence flexibility

Yuan, Shuai; Zhu, Xiaomin; Cai, Wei; Gao, Jinsheng; … - In: Computers & operations research : an international journal 176 (2025), pp. 1-22

Persistent link: https://www.econbiz.de/10015331820

An effective hybrid evolutionary algorithm for the clustered orienteering problem

Wu, Qinghua; He, Mu; Hao, Jin-Kao; Lu, Yongliang - In: European journal of operational research : EJOR 313 (2024) 2, pp. 418-434

Persistent link: https://www.econbiz.de/10014456579

A hybrid evolutionary algorithm for the capacitated minimum spanning tree problem

Lu, Yongliang; Benlic, Una; Wu, Qinghua - In: Computers & operations research : and their … 144 (2022), pp. 1-15

Persistent link: https://www.econbiz.de/10013264843

An Improved Generalized Quantum-Inspired Evolutionary Algorithm for Multiple Knapsack Problem

Bansal, Sulabh; Patvardhan, C. - In: International Journal of Applied Evolutionary … 9 (2018) 1, pp. 17-51

This article describes how the 0/1 Multiple Knapsack Problem (MKP), a generalization of popular 0/1 Knapsack Problem, is NP-hard and harder than simple Knapsack Problem. Solution of MKP involves two levels of choice – one for selecting an item to be placed and the other for selecting the...

Persistent link: https://www.econbiz.de/10012042727

MEALS : a multiobjective evolutionary algorithm with local search for solving the bi-objective ring star problem

Calvete, Herminia I.; Galé, Carmen; Iranzo, José A. - In: European journal of operational research : EJOR 250 (2016) 2, pp. 377-388

Persistent link: https://www.econbiz.de/10011441580

A study of hybrid evolutionary algorithms for single machine scheduling problem with sequence-dependent setup times

Xu, Hongyun; Lü, Zhipeng; Yin, Aihua; Shen, Liji; … - In: Computers & operations research : and their … 50 (2014), pp. 47-60

Persistent link: https://www.econbiz.de/10010400272

Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm

Doagou-Mojarrad, Hasan; Gharehpetian, G.B.; Rastegar, H.; … - In: Energy 54 (2013) C, pp. 129-138

This paper presents an interactive fuzzy satisfying method, which is based on Hybrid Modified Shuffled Frog Leaping Algorithm, and should solve the problem of the Multi-objective optimal placement and sizing of DG (distributed generation) units in the distribution network. Minimizing total...

Persistent link: https://www.econbiz.de/10010808974