Cezar Augusto Sierakowski

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Swarm intelligence courses have been offered at many universities all over the world from early 1990s. However, the field of Particle Swarm Optimization (PSO) – a swarm intelligence technique – is still relatively young without any standard teaching method. This paper describes an educational software tool for aid the teaching of PSO fundamentals in MATLAB(More)
Swarm intelligence was originally inspired in social behaviour in nature, also considering the evolving aspects, several variations in swarm intelligence’s techniques made it applicable to optimization problems. In this paper two case studies of static environment, composed with obstacles are presented and evaluated, a comparative study is evaluated between(More)
An alternative approach, between much others, for mathematical representation of dynamics systems with complex or chaotic behaviour, is a radial basis function neural network using k-means for clustering and optimized by pseudo-inverse and particle swarm optimisation. This paper presents the implementation and study to identify a dynamic system, with(More)
Foraging theory originated in attempts to address puzzling findings that arose in ethological studies of food seeking and prey selection among animals. The potential utilization of biomimicry of social foraging strategies to develop advanced controllers and cooperative control strategies for autonomous vehicles is an emergent research topic. The activity of(More)
During the course of evolution, colonies of ants, bees, wasps, bacteria and termites have developed sophisticated behavior, intricate communication capabilities, decentralized colony control, group foraging strategies and a high degree of worker cooperation when tackling tasks. Utilizing these capabilities, any bio-inspired optimization techniques using(More)
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