A Stigmergy-Based Algorithm for Continuous Optimization Tested on Real-Life-Like Environment

High-dimensional real-parameter optimization using the differential ant-stigmergy algorithm

Purpose – The purpose of this paper is to present an algorithm for global optimization of high-dimensional real-parameter cost functions. Design/methodology/approach – This optimization algorithm, called differential ant-stigmergy algorithm (DASA), based on a stigmergy observed in colonies of real ants. Stigmergy is a method of communication in decentralized systems in which the individual part...

Real-parameter Optimization Using Stigmergy

This paper describes the so-called Differential Ant-Stigmergy Algorithm (DASA), which is an extension of the Ant-Colony Optimization for continuous domain. A performance study of the DASA on a benchmark of real-parameter optimization problems is presented. The DASA is compared with a number of evolutionary optimization algorithms including covariance matrix adaptation evolutionary strategy, dif...

Applications of the Differential Ant-Stigmergy Algorithm on Real-World Continuous Optimization Problems

Ant-Stigmergy Algorithm on Real-World Continuous Optimization Problems

Ants have always fascinated human beings. What particularly strikes the occasional observer as well as the scientist is the high degree of societal organization that these insects can achieve in spite of very limited individual capabilities (Dorigo et al., 2000). Ants have inspired also a number of optimization algorithms. These algorithms are increasingly successful among researches in compute...

Optimization Algorithms Inspired by Electromagnetism and Stigmergy in Electro-technical Engineering

This paper presents a comparative study of two stochastic optimization methods: the electromagnetism-like algorithm (EMA) and the multilevel ant stigmergy algorithm (MASA) in computer-assisted design of universal electric motor rotor/stator geometry. The design goal was to minimize the power losses. The output of this study can be summarized in several important findings. Above all, both compar...