Natural evolution is an open-ended search process without an a priori fitness function that needs to be optimized. On the other hand, evolutionary algorithms (EAs) rely on a clear and quantitative objective. TheNovelty Search algorithm (NS) substitutes fitness-based selectionwith a novelty criteria; i.e., individuals are chosen based on their uniqueness. To do so, individuals are described by t...

Uc Pinna and Sallcs ask lor clarification on how cladistic analysis tests adaptational hypotheses de Pinna and Sallcs. 1990; Coddington, 1988 . They also [joint out that an alternative optimization exists lor character 3 in my 19881 fig. 2. Ynp. OK, I'll admit it. All readers of the previous paper are hereby instructed to believe that a new laxon has been discovered, identical to taxon D except...

A new model for evolving Evolutionary Algorithms (EAs) is proposed in this paper. The model is based on the Multi Expression Programming (MEP) technique. Each MEP chromosome encodes an evolutionary pattern which is repeatedly used for generating the individuals of a new generation. The evolved pattern is embedded into a standard evolutionary scheme which is used for solving a particular problem...

The paper reports a scalable evolutionary design for pattern recognition using Multiple Attractor Cellular Automata (MACA). MACA helps to impart non-linearity in the classifier using Hamming distance based attractors. Isomorphism in MACA was exploited to make the method scalable to large classification problems involving non-linear boundaries. Extensive experimentation was performed on datasets...

Ribonucleïnezuur (RNA) vervult twee verschillende rollen binnen een cel. Enerzijds heeft het molecuul de functie om informatie op te slaan (net zoals desoxyribonucleïnezuur (DNA)), anderzijds dient het als katalysator (op een manier zoals ook eiwit deze rol vervult). Bovendien kan RNA optreden als katalysator voor zijn eigen reproductie. Het molecuul kan daarom worden beschouwd als een minimaal...

The kinematics of human walking are largely driven by passive dynamics, but adaptation to varying terrain conditions and responses to perturbations require some form of active control. The basis for this control is often thought to take the form of entrainment between a neural oscillator (i.e., a central pattern generator and/or distributed counterparts) and the mechanical system. Here we use t...

This paper deenes a class of evolutionary algorithms called evolutionary pattern search algorithms (EPSAs) and analyzes their convergence properties. This class of algorithms is closely related to evolutionary programming, evolution strategie and real-coded genetic algorithms. EPSAs are self-adapting evolutionary algorithms that modify the step size of the mutation operator in response to the s...