Similar Search Results

Research trends in combinatorial optimization

Weinand, Jann Michael; Sörensen, Kenneth; San Segundo, … - In: International transactions in operational research : a … 29 (2022) 2, pp. 667-705

Persistent link: https://www.econbiz.de/10012795797

Probabilistic Tabu Search for the Cross-Docking Assignment Problem

Guemri, Oualid; Nduwayo, Placide; Todosijević, Raca; … - In: European journal of operational research : EJOR 277 (2019) 3, pp. 875-885

Persistent link: https://www.econbiz.de/10012102207

Relaxation heuristics for the set multicover problem with generalized upper bound constraints

Umetani, Shunji; Arakawa, Masanao; Yagiura, Mutsunori - In: Computers & operations research : and their … 93 (2018), pp. 90-100

Persistent link: https://www.econbiz.de/10011814903

An asynchronous parallel disassembly planning based on genetic algorithm

Ren, Yaping; Zhang, Chaoyong; Zhao, Fu; Xiao, Huajun; … - In: European journal of operational research : EJOR 269 (2018) 2, pp. 647-660

Persistent link: https://www.econbiz.de/10011864427

Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid

Weiner, Jake; Ernst, Andreas; Li, Xiaodong; Sun, Yuan; … - In: European journal of operational research : EJOR 293 (2021) 3, pp. 847-862

Persistent link: https://www.econbiz.de/10012533779

A review of simheuristics : extending metaheuristics to deal with stochastic combinatorial optimization problems

Juan, Angel A.; Faulin, Javier; Grasman, Scott E.; … - In: Operations research perspectives 2 (2015), pp. 62-72

the use of metaheuristic algorithms. Metaheuristics benefit from different random-search and parallelization paradigms … that allows for extending metaheuristics through simulation to solve stochastic COPs. "Simheuristics" allow modelers for …-driven framework. These optimization-driven algorithms rely on the fact that efficient metaheuristics already exist for the …

Persistent link: https://www.econbiz.de/10011822486

Carousel greedy : a generalized greedy algorithm with applications in optimization

Cerrone, Carmine; Cerulli, Raffaele; Golden, Bruce - In: Computers & operations research : and their … 85 (2017), pp. 97-112

Persistent link: https://www.econbiz.de/10011713756

Metaheuristic Procedures for Training Neutral Networks

Alba, Enrique (contributor); Martí, Rafael (contributor) - 2006

This book provides successful implementations of metaheuristic methods for neural network training. It is the first book to achieve this objective. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own....

Persistent link: https://www.econbiz.de/10013520443

On the role of metaheuristic optimization in bioinformatics

Calvet, Laura; Benito, Sergio; Juan, Angel A.; Prados, … - In: International transactions in operational research : a … 30 (2023) 6, pp. 2909-2944

Persistent link: https://www.econbiz.de/10014327963

Modeling and scheduling hybrid open shops for makespan minimization

Araújo, Kennedy Anderson Guimarães de; Bonates, … - In: Journal of modelling in management 17 (2022) 4, pp. 1566-1586

Persistent link: https://www.econbiz.de/10014334612