Sentence examples for multimodal optimization problems from inspiring English sources

This automated hybrid genetic algorithm (AHGA) is used for solving general multimodal optimization problems while assuring global optimality to a significant degree.

This paper introduces a new hybrid algorithm for locating all solutions in multimodal optimization problems.

Genetic algorithms with sharing have been applied in many multimodal optimization problems with success.

Many scientific and engineering applications require optimization methods to find more than one solution to multimodal optimization problems.

The estimation is converted into multimodal optimization problems that require a global optimization algorithm that can avoid local solutions.

A niche hybrid genetic algorithm (NHGA) is proposed in this paper to solve continuous multimodal optimization problems more efficiently, accurately and reliably.

Two experiments are conducted on stochastic multimodal optimization problem and stochastic resource allocation problem.

The problem of finding non-uniform beams which are isospectral to a given uniform beam, with fixed-free boundary condition, leads to a multimodal optimization problem.

A practical multimodal optimization problem concerning the design of dielectric composites has also been used to test the performance of the algorithm.

Such behavior is often referred to as a multimodal optimization problem.

In this paper a new genetic algorithm is developed to find the near global optimal solution of multimodal nonlinear optimization problems.