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Tavakkoli-Moghaddam et al. (2012) solved the multi-objective problem of CMS, using a scatter search algorithm, regarding alternative process routes for parts.
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In this paper we use a scatter search framework to solve the vehicle routing problem with time windows (VRPTW).
We present different configurations of two hybrid metaheuristics to solve the problem, a genetic algorithm and a scatter search approach.
A Scatter Search algorithm for biclustering is presented in this paper.
This paper presents a Scatter Search with the aim of finding biclusters from gene expression data.
The optimal value (J* = 95.8) was again obtained using eSS scatter search.
The optimization problem (20) is solved for each sample using the scatter search global solver by Egea et al. [ 20].
The proposed algorithm evolves a pool of solutions using principles of scatter search, interlinked with an iterated local search as an improvement method.
We performed the outer optimization in Eq. (6) using the enhanced Scatter Search (eSS) algorithm from SSmGO (Scatter Search for Matlab Global Optimization) toolbox [ 16- 18], in which we terminated the parameter search when the objective function improved less than a relative tolerance of 10−5 for 50 successive iterations.
Preliminary investigations have been carried out to compare the optimal stacking sequences obtained using scatter search algorithm for buckling load maximisation with the best known published results.
Studies indicate that the optimal buckling load factors obtained using the proposed scatter search algorithm found to be either superior or comparable to the best known published results.
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