# Cbom computer based optimization model programs in c

The following C project contains the C source code and C examples used for cbom [ computer based optimization model ] programs. computer based optimization programs like lcm,nwcm

The following Matlab project contains the source code and Matlab examples used for competition over resources a new optimization algorithm based on animals behavioral ecology.
In this work, we propose a new nature based optimization algorithm based on competitive behavior of animal groups.

The following Matlab project contains the source code and Matlab examples used for optimal weights.
-CONTAINS AN HYBRID OPTIMIZATION ALGORITHM (optimizer()).

The following Matlab project contains the source code and Matlab examples used for steepest ascent/descent is a simple and efficient optimization method ... .
This m-file provides a simple and efficient optimization method based on statistical design of experiments by the steepest ascent/descent procedure to predict points headed (hopefully) toward to optimum (maximum or minimum) for a first-order design.

The following Matlab project contains the source code and Matlab examples used for hill climbing optimization.
It is a hill climbing optimization algorithm for finding the minimum of a fitness function
in the real space.

The following Matlab project contains the source code and Matlab examples used for cvar optimization.
Estimate optimal portfolios by minimizing CvaR. Read the file "Read me first" for instructions

The following Matlab project contains the source code and Matlab examples used for scope this utility gets the final risk levels and risk labels from roc optimization.
In this example, it is assumed that SCOPE returned fusion at level 1, then on the new risk factor fusion at level 2.

The following Matlab project contains the source code and Matlab examples used for training mlp by means of cuckoo optimization algorithm (coa).
Cuckoo Optimization Algorithm (COA) is inspired by the life of a bird family, called Cuckoo.

The following Matlab project contains the source code and Matlab examples used for cuckoo optimization algorithm.
Cuckoo Optimization Algorithm (COA) is inspired by the life of a bird family, called Cuckoo.

The following Matlab project contains the source code and Matlab examples used for normalized normal constraint (nnc) algorithm for multi objective optimization.
This Toolset comprises of the following files:
1) NNCparam.

The following Matlab project contains the source code and Matlab examples used for sso (simplified swarm optimization) algorithm.
Simplified Swarm Optimization (SSO) algorithm invented by Wei-Chang Yeh,
Papers -- Citation Details:
C.

The following Matlab project contains the source code and Matlab examples used for radiation treatment planning optimization toy example.
This program is a stand-alone toy example
of radiation treatment planning(RTP)
optimization for a brain tumor case.

The following Matlab project contains the source code and Matlab examples used for cab (algorithm for global optimization inspired by collective animal behavior).
A metaheuristic algorithm for global optimization called the collective animal behavior (CAB) is introduced.

The following Matlab project contains the source code and Matlab examples used for a new optimization algorithm inspired by the states of matter .
The ability of an Evolutionary Algorithm (EA) to find a global optimal solution depends on its capacity to find a good rate between exploitation of found so far elements and exploration of the search space.

The following Matlab project contains the source code and Matlab examples used for randomly multiply started optimizations for global problems .
Some optimization problems have very simple surfaces to optimize.

The following Matlab project contains the source code and Matlab examples used for simplified gradient descent optimization.
This example was developed for use in teaching optimization in graduate engineering courses.

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).

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

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.

The following Matlab project contains the source code and Matlab examples used for fast adaptive coordinate descent for non linear optimization.
Fast Adaptive Coordinate Descent
The algorithm adapts an appropriate coordinate system using PCA and performs a coordinate descent along principal components.

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.

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.

The following Matlab project contains the source code and Matlab examples used for fractional order darwinian particle swarm optimization.
fdpso - MatLab function for FDPSO
Fractional Order Darwinian Particle Swarm Optimization
Limited to optimization problems of nine variables but can easily be extended many more variables.

The following Matlab project contains the source code and Matlab examples used for particle swarm optimization (pso) algorithm.
A flexible implementation of PSO algorithm with time-varying parameters.

The following Matlab project contains the source code and Matlab examples used for a pso (particle swarm optimization)program .
The program is writing base on the principle of the PSO algorithm,and it is used to Water quality model calibration.

The following Matlab project contains the source code and Matlab examples used for particle swarm optimization .
PSO(particle swarm optimization) one of nature inspired techniques is used to optimize the objective function in MUD.

The following Matlab project contains the source code and Matlab examples used for hybrid particle swarm optimization.
This upload contains a hybrid Particle Swarm Optimization algorithm for functions in the real space.

The following Matlab project contains the source code and Matlab examples used for fft2 optimization.
FFT2 optimization.

The following Matlab project contains the source code and Matlab examples used for a cuckoo search algorithm for multimodal optimization.
Interest in multimodal optimization is expanding rapidly since many practical engineering problems demand the localization of multiple optima within a search space.

The following Matlab project contains the source code and Matlab examples used for simple example of genetic algorithm for optimization problems.
It is used to generate useful solutions to optimization and search problems.