scholarly journals Hybrid PSO Algorithm with Iterated Local Search Operator for Equality Constraints Problems

2018 ◽  
Author(s):  
Felipe Mota ◽  
Vinicius Almeida ◽  
Elizabeth F. Wanner ◽  
Gladston Moreira
Keyword(s):  
Local Search ◽  
Pso Algorithm ◽  
Iterated Local Search ◽  
Equality Constraints ◽  
Local Search Operator

scholarly journals VND-based Local Search Operator for Equality Constraint Problems in PSO Algorithm

2018 ◽  
Vol 66 ◽  
pp. 111-118
Author(s):  
Felipe O. Mota ◽  
Elizabeth F. Wanner ◽  
Eduardo J.S. Luz ◽  
Gladston J.P. Moreira
Keyword(s):  
Local Search ◽  
Pso Algorithm ◽  
Equality Constraint ◽  
Local Search Operator

Projection-based local search operator for multiple equality constraints within genetic algorithms

2007 ◽  
Author(s):  
Gustavo Peconick ◽  
Elizabeth F. Wanner ◽  
Ricardo H. C. Takahashi
Keyword(s):  
Genetic Algorithms ◽  
Local Search ◽  
Equality Constraints ◽  
Local Search Operator

scholarly journals Multi-start iterated local search, exact and matheuristic approaches for minimum capacitated dominating set problem

2021 ◽  
Vol 108 ◽  
pp. 107437
Author(s):  
Mallikarjun Rao Nakkala ◽  
Alok Singh ◽  
André Rossi
Keyword(s):  
Local Search ◽  
Dominating Set ◽  
Iterated Local Search ◽  
Dominating Set Problem

scholarly journals Combining Heuristics with Simulation and Fuzzy Logic to Solve a Flexible-Size Location Routing Problem under Uncertainty

Algorithms ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 45
Author(s):  
Rafael D. Tordecilla ◽  
Pedro J. Copado-Méndez ◽  
Javier Panadero ◽  
Carlos L. Quintero-Araujo ◽  
Jairo R. Montoya-Torres ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Local Search ◽  
Vehicle Routing Problem ◽  
Large Scale ◽  
Iterated Local Search ◽  
Location Routing Problem ◽  
Routing Problem ◽  
Location Routing ◽  
Fuzzy Pattern ◽  
Reasonable Computing

The location routing problem integrates both a facility location and a vehicle routing problem. Each of these problems are NP-hard in nature, which justifies the use of heuristic-based algorithms when dealing with large-scale instances that need to be solved in reasonable computing times. This paper discusses a realistic variant of the problem that considers facilities of different sizes and two types of uncertainty conditions. In particular, we assume that some customers’ demands are stochastic, while others follow a fuzzy pattern. An iterated local search metaheuristic is integrated with simulation and fuzzy logic to solve the aforementioned problem, and a series of computational experiments are run to illustrate the potential of the proposed algorithm.

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