An Efficient Modified Immigrant Population Search Algorithm for Optimization over Unconstrained Spaces
Hamid Reza Kamali, Parisa Shahnazari-Shahrezaei · Industrial Engineering & Management Systems · 2019
Immigrant Population Search Algorithm (IPSA) is a combinatorial optimization method that is based on the population of solutions. In this paper, the structure of this algorithm is explained for unconstrained optimization. The steps of the algorithm include initialization, new population group immigration, removal of undesirable population groups and local search. After presenting the steps of the algorithm, a comparison with other meta-heuristic algorithms and their performance is done based on a number of mathematical optimization functions. The result of the comparison and statistical analysis shows that the proposed algorithm has a better performance over other algorithms that have been studied.