Multimodal optimization (MMO) aiming to locate multiple optimal (or near-optimal) solutions
in a single simulation run has practical relevance to problem solving across many fields …

The task of providing optimal composite structures is increasingly difficult. New analysis
approaches seek to model the material at the fibre/matrix scale and increasingly more …

Optimization is a branch of applied mathematics and numerical analysis. Almost every
problem in engineering, science, economics, and life can be formulated as an optimization …

Genetic algorithms are founded upon the principle of evolution, ie, survival of the fittest.
Hence evolution programming techniques, based on genetic algorithms, are applicable to …

Charles Darwin stated the theory of natural evolution in the origin of species. Over several
generations, biological organisms evolve based on the principle of natural selection …

This invaluable book has been designed to be useful to most practising scientists and
engineers, whatever their field and however rusty their mathematics and programming might …

Multimodal optimization amounts to finding multiple global and local optima (as opposed to
a single solution) of a function, so that the user can have a better knowledge about different …

Many scientific, engineering and economic problems involve the optimisation of a set of
parameters. These problems include examples like minimising the losses in a power grid by …

Evolutionary Algorithms (EAs) in their original forms are usually designed for locating a
single global solution. These algorithms typically converge to a single solution because of …

In this paper, a neighborhood mutation strategy is proposed and integrated with various
niching differential evolution (DE) algorithms to solve multimodal optimization problems …