# Complex method of optimization in matlab

The following Matlab project contains the source code and Matlab examples used for complex method of optimization. Implements the Complex Method of Constrained Optimization, as proposed by Box (1965), improved by Guin (1968) and Krus (1992), and following the method in Andresson (2001).

# A new population-based metaheuristic algorithm for continuous numerical optimization problems. in matlab

The following Matlab project contains the source code and Matlab examples used for a new population-based metaheuristic algorithm for continuous numerical optimization problems. . Symbiotic Organisms Search (SOS) is a new population-based metaheuristic algorithm.

# Multi objective optimization differential evolution algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for multi objective optimization differential evolution algorithm. This Toolset comprises of the following files: 1) MODEparam.

# Optimization rastrigin function by differential evolution algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for optimization rastrigin function by differential evolution algorithm. The zip include four files DE.

# Function optimization using differential evolution in matlab

The following Matlab project contains the source code and Matlab examples used for function optimization using differential evolution. Differential Evolution to optimize a function

# Cohss solver for complex symmetrix linear system in matlab

The following Matlab project contains the source code and Matlab examples used for cohss solver for complex symmetrix linear system . COHSS solver for complex symmetrix linear system Description: The script cohss solve iteratively a complex linear system (1) (B+i*C) (x+i*y) = b+i*c with B and C semi-SPD (SPD=Symmetric and Positive Definite matrices) and B+C an SPD matrix.

# Optimization tutorial in matlab

The following Matlab project contains the source code and Matlab examples used for optimization tutorial. This archive includes a set of functions introducing into optimization and line search techniques.

# A random search method[1] for the optimization of a function of n variables. in matlab

The following Matlab project contains the source code and Matlab examples used for a random search method[1] for the optimization of a function of n variables. . Optimized Step Size Random Search(OSSRS) A random search method[1] for the optimization of a function of n variables.

# Designs analog all-pass phase shift networks. in matlab

The following Matlab project contains the source code and Matlab examples used for designs analog all-pass phase shift networks. . This program designs analog all-pass phase shift networks. The optimal parameters are searched using the Nelder-Mead simplex direct search) method.

# Quadratic programming by wolf's method in matlab

The following Matlab project contains the source code and Matlab examples used for quadratic programming by wolf's method. This script is capable of solving a convex quadratic programming problem by Wolf's method.

# Image restoration via topological derivative in matlab

The following Matlab project contains the source code and Matlab examples used for image restoration via topological derivative. Restoration_Continuum_TD and Restoration_Discrete_TD both restore an image using the Topological Derivative algorithms.

# Solves the 0-1 knapsack problem using preprocessing and dynamic programming. in matlab

The following Matlab project contains the source code and Matlab examples used for solves the 0-1 knapsack problem using preprocessing and dynamic programming. . [FMAX,X] = KP01(W,P,C) solves the combinatorial optimization problem       maximize F = SUM(P.

# Quadratic programming solution to dynamic economic dispatch in matlab

The following Matlab project contains the source code and Matlab examples used for quadratic programming solution to dynamic economic dispatch. Dynamic economic dispatch is an important variant of economic dispatch,where the the ramp constraints also considered .This software presents a simple way of implementing the quadaratic programming to solve the problem.

# Stochastic dynamic programming for water reservoir in matlab

The following Matlab project contains the source code and Matlab examples used for stochastic dynamic programming for water reservoir. Stochastic Dynamic Programming is an optimization technique for decision making under uncertainty. In this program, the technique was applied for water reservoir management to decide amount of water release from a water reservoir.

# Cuckoo search (cs) algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for cuckoo search (cs) algorithm. A new metaheuristic optimization algorithm, called Cuckoo Search (CS), is fully implemented, and the vectorized version is given here.

# Stochastic search and optimization in matlab

The following Matlab project contains the source code and Matlab examples used for stochastic search and optimization. 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.

# Genetic algorithm code with/without islands and simulated annealing in matlab

The following Matlab project contains the source code and Matlab examples used for genetic algorithm code with/without islands and simulated annealing . Three functions: genetic algorithm (aga), genetic algorithm with islands (aga_islands) and simulated annealing (asa).

# Simulated annealing optimization m-file in matlab

The following Matlab project contains the source code and Matlab examples used for simulated annealing optimization m-file . Simulated Annealing Optimization m-file The program set can be used to solve TRAVELING SALESMAN PROBLEMS from the TSPLIB.

# 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.

# Simulated annealing optimization in matlab

The following Matlab project contains the source code and Matlab examples used for simulated annealing optimization. Simulated annealing is an optimization algorithm that skips local minimun.

# Antshrink ant colony optimization for image shrinkage in matlab

The following Matlab project contains the source code and Matlab examples used for antshrink ant colony optimization for image shrinkage. This is a demo program of the paper J. Tian, W. Yu, and L. Ma, "AntShrink: Ant colony optimization for image shrinkage," Pattern Recognition Letters, Vol. 31, Oct. 2010, pp. 1751-1758.

# Image edge detection using ant colony optimization in matlab

The following Matlab project contains the source code and Matlab examples used for image edge detection using ant colony optimization. A demo program of image edge detection using ant colony optimization.

# Newton raphson optimization procedure in matlab

The following Matlab project contains the source code and Matlab examples used for newton raphson optimization procedure. It estimates the Newton Raphson optimization procedure for (m) unknowns of (n) non-linear equations.

# The wind driven optimization (wdo) algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for the wind driven optimization (wdo) algorithm. The Wind Driven Optimization (WDO) algorithm is a new type of nature-inspired global optimization methodology based on atmospheric motion.

# Backtracking search optimization algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for backtracking search optimization algorithm . This paper introduces the backtracking search optimization algorithm (BSA), a new evolutionary algorithm (EA) for solving real-valued numerical optimization problems.

# 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.

# Pso for global optimization problems in matlab

The following Matlab project contains the source code and Matlab examples used for pso for global optimization problems. Particle Swarm Optimization is a simplified social system with swarm intelligence.