The following Matlab project contains the source code and Matlab examples used for pareto front using fitness sharing. This code finds and plots the Pareto front of the following problem: Find the smallest circle to enclose the largest no.

The following Matlab project contains the source code and Matlab examples used for nsga ii a multi objective optimization algorithm. NSGA-II is a very famous multi-objective optimization algorithm.

The following Matlab project contains the source code and Matlab examples used for solves siso mean-square optimal control design problems: a(p)x = b(p)u + f(t) . Solves SISO mean-square optimal control design problems of the following form: Let the controlled plant is described by differential equation                  A(p)x = B(p)u + f(t), where x - scalar controlled variable, u - scalar control, A(p),B(p) are polynomials of p = d/dt, f(t) - external disturbance with known spectral density Sf=S(s)S(-s)=N(s)N(-s)/(T(s)T(-s)) (N(s),T(s) are Hurwitz polynomials).

The following Matlab project contains the source code and Matlab examples used for solves constrained minimization problems, some of the variables are restricted to discrete values . fminconset: Solves constrained minimization problems where some of the variables are restricted to discrete values. (Mixed Integer Nonlinear optimization). Based on fmincon from Optimization Toolbox version 2.0.

The following Matlab project contains the source code and Matlab examples used for neoclassic growth model in dynamic economic theory. Demonstration of Neoclassic Growth Model in Dynamic Economics, deterministic model, using both discrete optimization and interpolation method.

The following Matlab project contains the source code and Matlab examples used for bnb20 solves mixed integer nonlinear optimization problems . BNB20 solves mixed integer nonlinear optimization problems. It is a branch-and-bound type algorithm.

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 new approaches to constrained optimization in matlab. M-files accompanying the webinar titled "New Approaches to Constrained Optimization in MATLAB" held on November 05, 2005 These files provide what you need to run the two demos: 1) The first demo is a demonstration of bound constrained optimization of non-smooth objective function using GA and also using a Hybrid function (using GA with another optimization solver).

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 quasi linearization for optimal control trajectory. This programme implements Quasi Linearization Algorithm for searching optimal control trajectory, implemented for example of CSTR from book of Optimal Control Engineering by KIRK,

The following Matlab project contains the source code and Matlab examples used for unconstrained optimization using powell. Deterministic unconstrained optimization method using Powell.

The following Matlab project contains the source code and Matlab examples used for nonsteady lq state-feedback gain design with final state penalty . The m-file "dplqr" which solves the discrete nonsteady-state optimal control problem by a backwards iteration.

The following Matlab project contains the source code and Matlab examples used for economic dispatch by quadratic programming. This code solves the economic dispatch by quadratic programming.Monotonic quadratic Fuel cost equations with Bmn coefficients is considered this model.

The following Matlab project contains the source code and Matlab examples used for hypervolume indicator. In Evolutionary Multiobjective Optimization (EMO), an algorithm produces a set of points in the performance space as an estimation of the Pareto front.

The following Matlab project contains the source code and Matlab examples used for pareto front. Identifying the Pareto Front from a set of points in a multi-objective space is the most important and also the most time-consuming task in multi-objective optimization.

The following Matlab project contains the source code and Matlab examples used for weighted least squares + weighted min max optimization. This is a wrapper function to solve optimization problems (using FMINCON) of the form: min w.

The following Matlab project contains the source code and Matlab examples used for solves multiple phase optimal control problems. . Gauss Pseudospectral Optimization Software(GPOPS) is a MATLAB program for solving non-sequential multiple-phase optimal control problems.

The following Matlab project contains the source code and Matlab examples used for quadratic programming control allocation toolbox . The Quadratic Programming Control Allocation Toolbox (QCAT) provides MATLAB implementations of a number of algorithms for control allocation based on quadratic programming.

The following Matlab project contains the source code and Matlab examples used for analytical solution for orthogonal linear least squares in two dimensions. ORTHLLS2D returns the Orthogonal Linear Least Squares estimate for parameters of line a x + b y + c = 0 function f = OrthLLS2D(x, y) Inputs x and y must be real vectors of equal size.

The following Matlab project contains the source code and Matlab examples used for calculation of pareto points. A point X* is said to be Pareto optimal one if there is no X such that Fi(X)<=Fi(X*) for all i=1...n, with at least one strict inequality. These points are also known as non-dominated, non-inferior, or efficient points.

The following Matlab project contains the source code and Matlab examples used for multi objective optimizaion using evolutionary algorithm. Conventional optimization algorithms using linear and non-linear programming sometimes have difficulty in finding the global optima or in case of multi-objective optimization, the pareto front.

The following Matlab project contains the source code and Matlab examples used for extract solution from cplex .sol file. Reads a CPLEX .

The following Matlab project contains the source code and Matlab examples used for linear mixed integer program solver. Solves the mixed integer linear problem: min c'*x s.