Metaheuristics

Simulated annealing algorithm for finding periodic orbits in matlab

The following Matlab project contains the source code and Matlab examples used for simulated annealing algorithm for finding periodic orbits. In [CNSNS 16, 2845 (2011)] we propose a method which extends this basin of attraction of standard Newton-based methods to determine periodic orbits by use of systematized trial and error converging procedure.

Simulated annealing for constrained optimization in matlab

The following Matlab project contains the source code and Matlab examples used for simulated annealing for constrained optimization. Two programs are attached: sa_demo demonstrates how the simualted annealing works for simple functions, while sa_mincon solves a welded beam design problem using simulated annealing, which can easily be used to solve other constrained optimization problems in engineering design.

Particle Swarm Optimization Matlab Code

Particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity.

Multi objective optimization, particle swarm algorithm zdt, kur, sch in matlab

The following Matlab project contains the source code and Matlab examples used for multi objective optimization, particle swarm algorithm zdt, kur, sch . Improved many target particle swarm algorithm, success in solving the multi-objective optimization of the classic problems, such as ZDT, KUR, SCH classic optimization problem, only to f1 and f2 function after modification can be used.

Tunning of pid controller using bacterial foraging orientec by particle swarm optimization in matlab

The following Matlab project contains the source code and Matlab examples used for tunning of pid controller using bacterial foraging orientec by particle swarm optimization. My work has been accepted in GECCO 2008 as Graduate Student workshop. I have used this technique in PID tunning and i got better result than BG and PSO

Hybrid particle swarm optimization and gravitational search algorithm (psogsa) in matlab

The following Matlab project contains the source code and Matlab examples used for hybrid particle swarm optimization and gravitational search algorithm (psogsa). A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA).

Differential search algorithm a modernized particle swarm optimization algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for differential search algorithm a modernized particle swarm optimization algorithm. Differential Search Algorithm (DSA) is a new and effective evolutionary algorithm for solving real-valued numerical optimization problems.

Autonomous groups particles swarm optimization (agpso) in matlab

The following Matlab project contains the source code and Matlab examples used for autonomous groups particles swarm optimization (agpso). A modified particle swarm optimization (PSO) algorithm called autonomous groups particles swarm optimization (AGPSO) is proposed to further alleviate the two problems of trapping in local minima and slow convergence rate in solving high-dimensional problems.

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