Particle swarm optimization (PSO) is a population-based stochastic optimization technique inspired by swarm intelligence. The underlying motivation for the development of PSO algorithm was social behavior of animals such as bird flocking, fish schooling, and swarm theory. The fundamental to the
DEPSO, or called DEPS, is an algorithm for (constrained) numerical optimization problem (NOP), which hybridizes the advantages of both Particle Swarm Optimization (PSO) and Differential Evolution (DE). Related Information: Please find other related code and software in our Code Library.
MAOS-TSP [1] is a multiagent optimization system (MAOS) for solving the Traveling Salesman Problem (TSP). The source code can be downloaded here. Related Information: Please find other related code and software in our Source Code Library. Basic Description What’s New
CGTools-MP simulates interactions between lipid membranes and proteins with a systematic solvent-free coarse-grained model. The source code can be downloaded here. Related Information: Please find other related code and software in our Source Code Library. Basic Description Installation Quick Start
CGTools simulates lipid bilayer membranes with a systematic solvent-free coarse-grained model. The source code can be downloaded here. Related Information: Please find other related code and software in our Source Code Library. Basic Description Installation Quick Start Code Structure Tests
