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The problem is optimized using the metaheuristic variable neighborhood search.
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By using the metaheuristics, the solution time can be decreased; so the spare vehicle content determination can be performed for a daily production at once.
On the other hand, a community of researchers used the metaheuristics to find near-optimal solutions for the FJSP with acceptable computational time.
We refine the obtained plans using the coalition-based metaheuristic for vehicle routing problems.
Table 9 shows the Wilcoxon test results based on the ten trials of each algorithm on each experiment, and the reader is referred to [45] for the details of using the Wilcoxon test for comparing different metaheuristic algorithms.
The BSA is a bio-inspired metaheuristic that searches for solutions of optimization problems using the information obtained by past generations – or iterations.
Parameters adopted in the process are optimized using a metaheuristic search where the image information content and brightness are maximized.
The B-coefficients are given in the Appendix 2. The problem is solved by using four metaheuristic techniques i.e. DE, EP, RCGA, and SA.
In this work, the design is solved using a metaheuristic based approach.
We use the constant stuff in environments flush with variables.
The formulations discussed, are implemented within an automated structural design framework using a metaheuristic optimisation algorithm.
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