Differential Evolution (DE) is a state-of-the art global optimization technique. Considerable
research effort has been made to improve this algorithm and apply it to a variety of practical …

The partitional clustering concept started with K-means algorithm which was published in
1957. Since then many classical partitional clustering algorithms have been reported based …

Genetic algorithms play a significant role, as search techniques forhandling complex
spaces, in many fields such as artificial intelligence, engineering, robotic, etc. Genetic …

Metaheuristics are the most exciting development in approximate optimization techniques of
the last two decades. They have had widespread successes in attacking a variety of difficult …

Neural Networks presents concepts of neural-network models and techniques of parallel
distributed processing in a three-step approach:-A brief overview of the neural structure of …

This review is aimed at presenting an overview of evolutionary algorithms (EAs) as applied
to the solution of inverse scattering problems. The focus of this work is on the use of different …

Genetic Algorithms (GAs) are generally portrayed as search procedures which can optimize
functions based on a limited sample of function values. In this paper, GAs have been used in …

Motivated by concepts in quantum mechanics and particle swarm optimization (PSO),
quantum-behaved particle swarm optimization (QPSO) was proposed as a variant of PSO …

Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters
and is computationally simple and easy to implement, it is not a globally convergent …

We investigate the global convergence of estimation of distribution algorithms (EDAs). In
EDAs, the distribution is estimated from a set of selected elements, ie, the parent set, and …