Derived from the concept of self-adaptation in evolution strategies, the CMA (Covariance
Matrix Adaptation) adapts the covariance matrix of a multi-variate normal search distribution …

In this paper we present an extension of ant colony optimization (ACO) to continuous
domains. We show how ACO, which was initially developed to be a metaheuristic for …

This paper proposes the compact differential evolution (cDE) algorithm. cDE, like other
compact evolutionary algorithms, does not process a population of solutions but its statistic …

This paper presents how the Ant Colony Optimization (ACO) metaheuristic can be extended
to continuous search domains and applied to both continuous and mixed discrete …

This book is the result of a very long journey into optimization, and, more specifically, into
evolutionary computation. This journey would not have been possible without the support of …

This paper describes the application of the newly introduced Continuous Ant Colony
Optimization Algorithm (CACOA) to optimal design of sewer networks. Two alternative …

Recent research on compact genetic algorithms (cGAs) has proposed a number of
evolutionary search methods with reduced memory requirements. In cGAs, the evolution of …

Since estimation of distribution algorithms (EDAs) were proposed, many attempts have been
made to improve EDAs' performance in the context of global optimization. So far, the studies …

The research literature on metaheuristic and evolutionary computation has proposed a large
number of algorithms for the solution of challenging real-world optimization problems. It is …

This study introduces a quantum-inspired spiking neural network (QiSNN) as an integrated
connectionist system, in which the features and parameters of an evolving spiking neural …