2018 Competition on operational planning of sustainable power systems: Testsbeds and results

This paper concerns with the development of two new testbeds, the associated datasets, and the analysis of the results obtained by applying different heuristic optimization algorithms that participated in the 2018 panel and competition on”Emerging heuristic optimization algorithms for operational planning of sustainable electrical power...

Hybrid Single Parent-Offspring MVMO for Solving CEC2018 Computationally Expensive Problems

Mean-Variance Mapping Optimization (MVMO) belongs to the family of evolutionary algorithms, and has proven to be competitive in solving computationally expensive problems proposed in the Icompetitions CEC2014, CEC2015, and CEC2016. MVMO can tackle such problems by evolving a set of solutions (population based approach) or a single solution ...