For a discussion of recent heuristic and metaheuristic approaches for solving the SCP, we suggest you consult Ren, Feng, Ke and Zhang [7]. Greedy heuristics construct a feasible solution to an SCP by adding columns to the solution until all the rows of the matrix are covered. These ...
Route optimization algorithm is a computational method or mathematical technique designed to find the most efficient and optimal path or sequence of…
Heuristic algorithmsEvolutionary computationGenetic algorithmsParticle swarm optimizationThe economic dispatch (ED) is one of the most important short-term problems in power systems, and solving it quickly is essential. However, classical optimization tools are often too computationally demanding to be ...
A hybrid method integrates various models (e.g., artificial neural networks and traditional time-series models; several regression methods; and metaheuristic algorithms and artificial neural networks) to use the advantage of each of these techniques as they are used simultaneously. Actually, theoretical...
EMOPaT is a general environment and can be used to tune virtually any other EA or metaheuristic. EMOPaT is not only aimed at finding parameter sets that achieve good results considering the nature of the problems, the quality indices and, more in general, the conditions under which the EA ...
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