Erik Cuevas

1.Introductory concepts of metaheuristic techniques.- 2.An algorithm for global optimization inspired by collective animal behavior.- 3.A swarm optimization algorithm inspired in the behavior of the social-spider.- 4.An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation.- 5.Harnessing Locust Swarm Dynamics for Optimization Algorithms.- 6.Improving Function Evaluation Efficiency with an Enhanced Evolutionary Algorithm.- 7.A Fuzzy Logic-Inspired Metaheuristic Method for Enhanced Optimization.- 8.Modeling Optimization Techniques...