How to solve it: modern heuristics
How to solve it: modern heuristics
Metaheuristics in combinatorial optimization: Overview and conceptual comparison
ACM Computing Surveys (CSUR)
Solving complex economic load dispatch problems using biogeography-based optimization
Expert Systems with Applications: An International Journal
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
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The resource saving dispatching aims at finding the optimal combination of powers produced by power generating units that minimizes the total costs subject to given constraints. A metaheuristic swarm flow algorithm is proposed. Results of the comparative analysis of the efficiency of this algorithm on benchmark problems are presented. The comparison was performed with the particle swarm optimization, genetic, and biogeography-based optimization algorithms using systems consisting of 6 and 20 power generating units as examples. The flow algorithm converges to the optimal solution using less computational resources.