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PSO有关的开源代码

2014-08-13 21:00 134 查看

http://www.particleswarm.info/Programs.html

Programs

		Last check
PSO Demo/Fun, (inMath stuff about PSO)	By Maurice Clerc . Adaptive version. ANSI C source. Continuous (De Jong, Banana...) and discrete (Fifty/fifty, integer factorization, graph coloring, combinatorial) functions. Options: granularity, local queens, Guided Random Generation etc... TRIBES (a parameter free PSO). Binary PSOs.	2012-04
Particle Swarm Optimisation	Java applet by Mark C. Sinclair	2000-08
BinaryPS and NKPS(for Windows)	"Games" by Jim Kennedy. When a swarm of stupid particles beats you... Frustrating!	2012-05
Particle Swarm Optimizer	Related to the book "Swarm Intelligence" (J. Kennedy, R. Eberhart). C source	2001-08
Code for Particle Swarm Tester	A quite old one, for beginners ...	2003-01
Berkeley Lab	Search for "particle swarm". Several Java classes.	2003-07
The PSO TOOLBOX	A collection of Matlab (.m) files that can be used to implement the Particle Swarm Optimization Algorithm (PSO) to optimize your system. WARNING	2003-08 2004-05
GenOpt, Generic Optimization Program. Berkeley Lab	Amongst some others: # Particle Swarm Optimization algorithms (for continuous and/or discrete independent variables), with inertia weight or constriction coefficient and velocity clamping, and with a modification that constricts the continuous independent variables to a mesh to reduce computation time. # A hybrid global optimization algorithm that uses Particle Swarm Optimization for the global optimization, and Hooke-Jeeves for the local optimization.	2004-03
PSO visualisation applet	By Ken Fitch, Project Computing. Generates a semi-random 3-D landscape. A randomly generated particle swarm of 12 particles attempts to find the "global maximum" on the landscape. Runs under Java 1.1.	2004-04
Auto2fit (shareware)	1. Genetic Algorithm (GA): both encode/decode mode and real-value based mode, six crossover types and seven selection types 2. Particle Swarm Optimization (PSO): six schemes (2 standard and 4 new) 3. Differential Evolution (DE): ten schemes (5 new) 4. Maximum Inherit Optimization (MIO): four schemes	2004-08
Standard PSO 2006	Quite often some authors say they compare their PSO versions to the "standard one" ... which is never the same! So the idea is to define a real standard at least for one year, validated by some researchers of the field, in particular James Kennedy and Maurice Clerc.	2006-02
PSOpt	Visualisation of the process for some 2D functions. Written in Java	2006-03
Matlab PSO Toolbox	Robust Particle Swarm toolbox implementing Trelea, Common, and Clerc types along with an alpha version of change detection.	2006-04
Global Optimization by PSO: A Fortran Program	A FORTRAN program to find the global optimum by the Repulsive Particle Swarm method	2007-01
Multiobjective Particle Swarm with Crowding Distance (MOPSOCD)	R-package Source Code (C language) for MOPSO-CD as described in C. R. Raquel and P.C. Naval, "An Effective use of Crowding Distance in Multiobjective Particle Swarm Optimization", Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2005), Washington, D.C., June 25-29, 2005.	2013-06 2012-10
PSO with Mathematica (.nb file)	By Namrata Khemka and Christian Jacob. Needs Mathematica Player	2007-07
Standard PSO 2007 (SPSO-07)	Quite often, researchers claim to compare their version of PSO with the "standard one", but the"standard one" itself seems to vary! Thus, it is important to define a real standard that would stay unchanged for at least one year. More functions have been added in 2009-2010. Written in C. There is also a R version, slightly different, but with more options, by Claus Bendtsen, here.	2010-09
SPSO 2007, Matlab	Matlab version, by Mahamed Omran	2011-05
SPSO 2007, Matlab	by Stephen Chen. An implementation of Standard Particle Swarm Optimization with results available for the CEC2013 Real-Parameter Optimization Benchmark Functions	2013-10
ParadisEO (PARalleland DIStributedEvolving Objects)	Provides tools for the development of population-based metaheuristic: evolutionary algorithms, particle swarm optimization	2013-06
Java Based PSO Framework	Part of the open-source project CIlib (Computational Intelligence Library)	2007-12
TRIBES-D	By Maurice Clerc. A simplified version of his parameter-free particle swarm optimiser TRIBES, for real heterogeneous problems. For example, it easily finds the best known solution for the classical "Pressure vessel" problem. For multiobjective problems, it is also far better than the previous version.	2008-01
PSO-package for the free computing environment R	By Till Francke. Particle Swarm Optimization and Dynamically Dimensioned Search for R, optionally using parallel computing based on Rmpi	2009-09
SwarmOps source-code library	By Magnus Pedersen. C# and ANSI C codes for several optimization methods, including a few global best PSO variants	2009-09
Balanced PSO	By Maurice Clerc. C code with a lot of options, to "simulate" many PSO variants. A stable version (for the Swarm Intelligence Handbook, and a Research version). There are still some bugs, though	2009-09
PSO Research Toolbox	By George Evers. An extensive PSO toolbox suitable for industrial, academic, and personal use.	2012-05
NetLogo Models Library: Sample Models/Computer Science	By Stonedahl, F. and Wilensky, U. (2008). NetLogo Particle Swarm Optimization model . Based on the algorithm presented in the following paper: Kennedy, J. & Eberhart, R. (1995)	2010-05
Variable PSO	By Maurice Clerc. A simple PSO with adaptive swarm size and topology.	2010-05
PSO in Python	By F.-A. Fortin. One of the features of DEAP (Distributed Evolutionary Algorithms in Python), . Warning: at this date (2010-10-15) this is just the original (global best) PSO, which is bad for multimodal functions, but it is easy to transform it into a local best one (like, say, Standard PSO).	2010-10
Robots Routing using Swarm Intelligence	A C# project to simulate and test a multiagent algorithm for finding multiple noisy radiation sources with spatial and communication constraints with an emulated environment. The robots cooperate and communicate with each other to locate the source based on the sensors readings using concepts from particle swarm optimization algorithm.	2011-01
Standard PSO 2011 (SPSO-2011)	As simple as SPSO-07, but not coordinate dependent. A few optional "bells and whistles" for better performance. Note: a short paper about the differences between SPSO 2006, 2007, 2011 is available here. There is also a R version, slightly different, with less options, by Claus Bendtsen, here.	2011-01 2012-09
SPSO 2011, Matlab	Matlab version, by Mahamed Omran	2011-05
TribesPSO	By Peter Baughman. A managed implementation of the Tribes particle swarm optimization technique. It is designed to be extensible without recompilation to enable testing of variations on the Tribes algorithm. The project is written in C#	2011-07
SimPSOLib	By Tomas Arredondo. A small and simple implementation in C++ (global best PSO, with Vmax)	2011-07
MATLAB PSO Research Toolbox	By Georges Evers. This site also presents some papers, and a thesis	2011-08
PyGMO	By Dario Izzo. Python Parallel Global Multiobjective Optimizer. Include DE, PSO, CMAES, ...	2011-11
SwarmNLP	By John Marshall. SwarmNLP is a program for Windows that visualizes particle swarm optimization (PSO) over multiple criteria and multiple objectives. This program is a good teaching tool for showing how PSO runs and quickly visualizing a solution space.	2012-04
hydroPSO	By Mauricio Zambrano-Bigiarini and Rodrigo Rojas. A newly developed package for the calibration/optimisation of environmental and other real-world models that need to be executed from the system console. hydroPSO is model-independent, allowing the user to easily interface any computer simulation model with the optimisation engine, through the model's own input and output files. It implements a state-of-the-art PSO algorithm (SPSO-2011 and SPSO-2007 capable), with several fine-tuning options (topologies, boundary conditions, initialisations, etc) and PSO variants available to customise the optimisation engine to different applications. User-friendly plotting functions facilitate the interpretation and assessment of the optimisation results. hydroPSO is parallel-capable, to alleviate the computational burden of complex models with "long" execution time.	2012-12-21
EPSO	By INESC (Porto, Portugal). Evolutionary Particle Swarm Optimization, a method based on a hybrid of two established optimization techniques belonging to the meta-heuristic family: evolutionary computing and particle swarm optimization.	2012-05
PSO (global best, Haskell language)	By P. Rabanal, I. Rodriguez, F. Rubio. Our aim is to provide a library of generic Haskell versions of the most common bioinspired metaheuristics, as well as a library containing the corresponding Eden (a parallel version of Haskell) skeletons for each metaheuristic. By doing so, we will simplify the task of using these metaheuristics in functional settings, and we will also simplify the task of improving their performance by means of parallelizing them. Moreover, as several metaheuristics will be provided in the same environment, the programmer will be able to check more easily what metaheuristics fits better for each concrete problem.	2012-06
popot, C++ POPulation Based Optimization Toolbox	By Jeremy Fix. Particle Swarm Optimization: SPSO 2006, 2007 and 2011 are implemented but you can also play by combining different topologies, initialization schemes, position or velocity update rules, confinement methods, random number generators. Artificial Bee Colony	2012-08
Squads: Global Optimization technique coupling Particle Swarm and Levenberg-Marquardt optimization techniques	By Velimir V. Vesselinov, and Dylan R. Harp. An adaptive global hybrid optimization strategy based on TRIBES, for complex inverse analysis of computationally intensive physics-based models.	2013-01
A PSO in C	By Kyriakos Kentzoglanakis. A small and efficient piece of C code that can be "plugged into" any project. It implements a standard PSO algorithm and supports thespecification of arbitrary user-defined objective functions, different swarm topologies, inertia weight update strategies, boundary conditions etc.	2013-03

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