Mahnam, "Guided local search algorithm for hot strip mill scheduling problem with considering hot charge rolling," The Interna- tional Journal of Advanced Manufacturing Technology, vol. 45, no. 11-12, pp. 1215-1231, 2009.M.R Yadollahpour,,M.Bijari,,S.Kavosh,,M.Mahnam.Guided local ...
Guided local search (GLS) is a meta-heuristic method proposed to solve combinatorial optimization problems. It is a high-level strategy that applies an efficient penalty-based approach to interact with the local improvement procedure. This interaction creates a process capable of escaping from local ...
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This paper presents a new local search algorithm for the capacitated arc routing problem (CARP). The procedure uses single vehicle moves and moves that operate on two routes, both derived from a node routing context but properly adapted to work well for arc routing problems. We combine the alg...
GLS is a penalty-based metaheuristic algorithm that sits ontop of other local search algorithms, with the aim to improve their eff i ciency androbustness. FLS is a way of reducing the size of the neighbourhood to improvethe eff i ciency of local search. The chapter also provides guidance ...
Can any one help me get a matlab script for simple mathematical optimization (eg. X^2) or any other function using Guided Local Search Algorithm? Thank You 댓글 수: 0 댓글을 달려면 로그인하십시오. 이 질문에 ...
Guided local search (GLS) is used to improve two of the proposed heuristics. An extra heuristic is added to regularly diversify the search in order to explore more areas of the solution space. The algorithm is compared with the best known heuristics of the literature and applied on a large ...
In many situations, heuristic search methods are needed. This chapter describes the principles of Guided Local Search (GLS) and Fast Local Search (FLS) and surveys their applications. GLS is a penalty-based meta-heuristic algorithm that sits on top of other local search algorithms, with the ...
This paper reports a fast local search (FLS) algorithm which helps to improve the efficiency of hill climbing and a guided local search (GLS) algorithm which was developed to help local search to escape local optima and distribute search effort. To illustrate how these algorithms work, this pap...
algorithm that sits on top of other local search algorithms, with the aim to improve their efficiency and robustness. FLS is a way of reducing the size of the neighborhood so as to improve the efficiency of local search. The chapter also provides guidance for implementing and using GLS and ...