This paper presents the results of a parameter study of the Grand Deluge Evolutionary Algorithm, whose special features consist of local interactions between individuals within a spatially structured population and a self{adjusting control mechanism of the selection pressure. Since both ingredients are parametrizable this study aims at the identiication of the signiicance and sensitivity of the...

This paper reports on investigations on the possible advantage of the coupling between genomes and physics of cells in artificial evolution. The idea is simple: evolution can rely on physical processes during development allowing to produce shapes without need to specify how exactly this shaping has to be done. Evolving a minimal energy surface such as soap bubbles would need only the specifica...

For the generation of locomotion, such as walking, running or swimming, vertebrate and invertebrate animals use the Central Pattern Generator (CPG). In this paper, a walking pattern generator is proposed using an evolutionary optimized CPG. Sensory feedback pathways in CPG are proposed, which uses Force Sensing Resistor (FSR) signals. For the optimization of CPG parameters, quantuminspired evol...

We describe and critique the convergence properties of filterbased evolutionary pattern search algorithms (F-EPSAs). F-EPSAs implicitly use a filter to perform a multi-objective search for constrained problems such that convergence can be guaranteed. We provide two examples that illustrate how F-EPSAs may generate limit points other than constrained stationary points. F-EPSAs are evolutionary p...

A pattern synthesis method based on Evolutionary Algorithm is presented to generate a dual radiation pattern from a planar array of isotropic antennas. The desired patterns are obtained by finding out optimum set of elements excitations. Flat-top and Pencil beams share a common optimum amplitude distribution among the array elements. Flat-top beam is generated by updating the zero phases with t...

The differential evolution (DE) algorithm with a new differential mutation base strategy, namely best of random, is applied to the synthesis of unequally spaced antenna arrays. In the best of random mutation strategy, the best individual among three randomly chosen individuals is used as the mutation base while the other two are for the vector difference. Hence a good balance of diversity and e...