Particle Swarm Optimization (PSO) Software

Particle Swarm Optimization (PSO) Software

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 development of PSO is a hypothesis that social sharing of information among peers offers an evolutionary advantage. One of reasons that PSO is attractive

Polymath8: Bounded Gaps between Primes

Polymath8: Bounded Gaps between Primes

The Polymath8 project, led by Prof. Terence Tao and in collaboration with a team of top mathematicians, was launched to optimize the records of the bounded gaps between primes based on the breakthrough work of “Bounded gaps between primes” by Dr. Yitang Zhang. He proved that there are infinitely many pairs of primes with a finite gap, and thus resolved a weak form of the twin prime conjecture. Publications D. H. J. Polymath, et al. Ne

DEPSO Algorithm: Project Portal

DEPSO Algorithm: Project Portal

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. Basic Description What’s New Problem to be solved Setting Parameters Output Information References Contact License information: DEPSO is free software; you

MAOS-TSP: Project Portal

MAOS-TSP: Project Portal

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 Directories & Files Command Line & Parameters Output Information References Contact License Information: You can redistribute it and/or modify it under the terms of the

MAOS-FSP: Project Portal

MAOS-FSP: Project Portal

MAOS-FSP is a cooperative group optimization system (MAOS) for solving the Flowshop Scheduling Problem (FSP). Related Information: Please find other related code and software in our Source Code Library. Basic Description What’s New Directories & Files Command Line & Parameters Output Information References MAOS-FSP shares the MAOS kernel with other MAOS applications (e.g. MAOS-GCP and MAOS-TSP), and contains some modules that are sp

MAOS-QKP: Project Portal

MAOS-QKP is a cooperative group optimization system (MAOS) for solving the Quadratic Knapsack Problem (QKP). Related Information: MAOS-QKP shares the MAOS kernel with other MAOS applications (e.g. MAOS-GCP and MAOS-TSP), and contains some modules that are specifically for tacking QKP. Please find other related code and software in our Source Code Library. Basic Description What’s New Directories & Files Command Line & Parameters Out

CGTools: Project Portal

CGTools: Project Portal

CGTools simulates lipid bilayer with a systematically 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 & Examples References Contact License Information: CGTools is free software; you can redistribute it and/or modify it under the terms of the Creative Commons No

Social Cognitive Optimization (SCO): Project Portal

Social Cognitive Optimization (SCO): Project Portal

Social Cognitive Optimization (SCO) is an optimization algorithm for solving the (constrained) numerical optimization problem. SCO is a simple agent-based model based on the observational learning mechanism in human social cognition. Related Information: Please find other related code and software in our Source Code Library. Basic Description What’s New Problem to be solved Setting Parameters Output Information References Contact License in

MAOS-QAP: Project Portal

MAOS-QAP: Project Portal

MAOS-QAP is a cooperative group optimization system (MAOS) for solving the Quadratic Assignment Problem (QAP). Related Information: MAOS-QAP shares the MAOS kernel with other MAOS applications (e.g. MAOS-GCP and MAOS-TSP), and contains some modules that are specifically for tacking QAP. Please find other related code and software in our Source Code Library. Basic Description What’s New Directories & Files Command Line & Parameters O

(Constrained) Numerical Optimization Problem (NOP)

Applications: Opitmization and Systhesis for Semiconductor Devices; Engineer Optimization Problems Related Frameworks: Swarm Algorithm Framework (SWAF) Related Algorithms: (Parallel) Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), Social Cognitive Optimization (SCO), and Electromagnetism-like Mechanism (EM) Heuristic, etc. Related Techniques: Boundary Constraints & Equality Constraints Handling Methods