Evolutionary Swarm

A large infestation of flesh eating aliens have invaded the Intergalactic Space Station "Dynamus". You are one of the last remaining survivors of the ship, holding up in the cargo bay. With the aliens surrounding your location, you decide to pilot your Me

Darwin2K is a toolkit for simulation and evolutionary design for robotics.

The program is writing base on the principle of the PSO algorithm,and it is used to Water quality model calibration. I have modified the program for many times ,and it is the final program I have used to calibrate the parameter oh the streeter-phelps water quality model.


Platforms: Matlab

A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with respect to its parameters and to initial population selection. Detailed logging of...


Platforms: Matlab

This is an accelerated PSO (APSO), developed by Xin-She Yang in 2008. APSO does not use velocities or any inertia parameter.A full program for solving nonlinear constrained optimization problem (welded beam design as an example) is provided, which can be extended to solve other continuous...


Platforms: Matlab

Evolutionary optimization methods, inspired from natural processes, have shown good performance in solving complex optimization problems. For example, genetic algorithms (inspired from biological evolution of human and other species), ant colony optimization (based on ants effort to find optimal...


Platforms: Matlab

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


Platforms: Matlab

This software contains one example taken from the reference paper given with this program. By running the programs as they are in the default pso folder the economic dispatch problem can be solved. The allocation minimum fuel cost and transmission losses are determined. By running the program the...


Platforms: Matlab

Introduction to Stochastic Search and Optimization is an overview of the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The book may serve as either a reference book for researchers and...


Platforms: Matlab

It finds the minimum of a n variables function with the Particle Swarm Optimization Algorithm.% The input parameters are:% -func: it's the objective function's handle to minimize% -numInd: it's the number of the swarm's elements% -range: it's the range in which the elements must be created%...


Platforms: Matlab

This add-in to the PSO Research toolbox (Evers 2009) aims to allow an artificial neural network (ANN or simply NN) to be trained using the Particle Swarm Optimization (PSO) technique (Kennedy, Eberhart et al. 2001).This add-in acts like a bridge or interface between MATLABd-deOaos NN toolbox and...


Platforms: Matlab

These files are the MATLAB code for "Imperialist Competitive Algorithm (ICA)" which in some papers is referred by "Colonial Competitive Algorithm CCA".Evolutionary optimization methods, inspired from natural processes, have shown good performance in solving complex optimization problems. For...


Platforms: Matlab

In Evolutionary Multiobjective Optimization (EMO), an algorithm produces a set of points in the performance space as an estimation of the Pareto front. A quantitive measure is desired to estimate the closeness of the estimated data points to the true Pareto front.One of such measures is the...


Platforms: Matlab

Decreasing the individual error and increasing the diversity among classifiers are two crucial factors for improving ensemble performances. Nevertheless, the d-deDUkappa-errord-deDt diagram shows that enhancing the diversity is at the expense of reducing individual accuracy. Hence, We proposed...


Platforms: Matlab

In the global optimization and GADS toolboxes, "ackleyfcn.m" implements a different Ackley formulation than what is commonly used in optimization literature. For those who prefer the traditional benchmark formulation, this fix modifies the Ackley code of the Particle Swarm Optimization Research...


Platforms: Matlab

the AFSA includes five steps of operations: (1) behaviour selection, (2) searchingbehaviour, (3) swarming behaviour, (4) following behaviour and (5) bulletin. A `max-generation' is the trial number of an AF school searching for food under given initialconditions, which is one of the widely used...


Platforms: Matlab

Modified version of Survival 1 that allows the preys to move around and simulate a sort of rough swarm behavior in an attempt to escape from predadors and at the same time try to form a pack.


Platforms: Matlab

Digital Karma is designed to model & analyze interaction at a fundamental level. It allows researchers to quantify the interactions of any phenomenon, and study the underlying processes graphically. We simulate the evolutionary processes at work behind any system by modeling the interactions...


Platforms: Matlab

The PREPOSTGUIS is a set of three GUI's conceived as a pre/post-processing tool to support various tasks carried out with TwoLe, a Two Level Decision Support System for planning and management of water reservoir networks developed at the "Dipartimento di Elettronica e Informazione" of the...


Platforms: Matlab

The Generalised Adaptive Fast-Fourier Evolver (GAFFE) toolbox is a framework that greatly simplifies the solution of complex partial differential equations (PDEs) in an adaptive manner.By default both the step-size and the mesh adapt to the problem at hand to optimise the speed of execution for a...


Platforms: Matlab