This paper is divided into two parts: classic knowledge on theory of island biogeography (I) and the evolution of behaviour and morphology under insular constraints (II). The main subjects dealt with are: the problem of small populations (1); the biological definition of an island and the importance of biological studies on islands (2); the species-area effect and its consequences for a nature ...

Multivariate integration problems arising in the real world often lead to computationally intensive numerical solutions. If the singularities and/or peaks in the integrand are not known a priori, the use of adaptive methods is recommended. The eeciency of adaptive methods depends heavily on focusing on the sub-regions that contain singularities or peaks in the integrands. In this paper, we pres...

A class of evolutionary selection dynamics is defined, and the defining property, convex monotonicity, is shown to be sufficient and essentially necessary for the elimination of strictly dominated pure strategies. More precisely: (1) all strictly dominated strategies are eliminated along all interior solutions in all convex monotonic dynamics, and (2) for all selection dynamics where the pure-s...

We propose and investigate a new concept for automatic search for attack strategies and demonstrate its use in the area of wireless sensor networks. We exploit mechanisms inspired by the biological evolution, known as Evolutionary Algorithms and we use a combination of simulation (or real system execution) with a candidate attacks generator. Each candidate is evaluated, its success is measured ...

This paper describes a sequel of the previous experiments on real number genetic algorithm behavior [2], [3]. A particular example of multicriteria optimization is discussed. The behavior of the two previously explored genetic algorithms is compared with a simple evolutionary algorithm. The main idea of the experiments is to stimulate the algorithm to find the Pareto set without measuring domin...

Evolutionary algorithms can eeciently solve a diverse set of optimization problems. The convergence rate of these techniques improve with larger population sizes but at the expense of an increased in computation time per generation. This paper presents an evolutionary algorithm which uses a large population for rapid convergence but a parallel implementation to minimize overall computation time...

This paper applies the Evolutionary Strategy (ES) metaheuristic to the automatic test data generation problem. The problem consists in creating automatically a set of input data to test a program. This is a required step in software development and a time consuming task in all software companies. We describe our proposal and study the influence of some parameters of the algorithm in the results...

Argument by backward induction forces us to conclude that two "rational" players will defect on every turn of the Finitely Repeated Prisoner's Dilemma (FRPD) game, thus performing significantly worse than agents with imperfect rationality. When this game is treated from an evolutionary perspective, using the standard evolutionary model, we encounter a similar paradox: a population which coopera...

i Acknowledgments First and foremost, I would like to thank my thesis advisor, Sushil J. Louis, for guiding my research virtually every step of the way. It was he who got me interested in GAs and Evolutionary Robotics in the rst place, as well as helped me improve my structured programming skills. Without his support and guidance this thesis would not have been possible. In addition, his work w...