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The parameters are the configurable components of a metaheuristic algorithm.
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Neighboring functions being the common reusable components of metaheuristic algorithms, GR-MR can also be utilized by other metaheuristic-based solutions in the future.
Hence, heuristic algorithms that search local regions of a feasible solution space detecting local optima form important components of metaheuristic methods.
This paper introduces four variants of the tabu search metaheuristic expressly developed for partitioning components of a dataflow program.
The efficiency of a metaheuristic algorithm is greatly dependent on its tuning parameters.
The simulations are performed by means of a metaheuristic optimization algorithm, i.e., natural aggregation algorithm (NAA).
Here we are interested in the parallelization of a metaheuristic optimization algorithm, the enhanced scatter search method described in the previous section.
Problem-specific heuristics are usually specialized components of such metaheuristics.
Know the components of a muscle.
Hill-climbing constitutes one of the simplest way to produce approximate solutions of a combinatorial optimization problem, and is a central component of most advanced metaheuristics.
component of a European financial safety net.
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