… cellular evolution, as a bi-dimensional cellular automaton which works with rules inspired by
genetic algorithms. … its prospect, and make this new procedure available to everyone. The …

… We consider one additional evolutionary algorithm in our experiments, … genetic algorithm.
By doing so, we allow a more detailed analysis of the lexicographic paradigm for the evolution …

… genetic algorithm and spatial Prisoner’s Dilemma in a population to add an evolutionary …
Dilemma game and genetic algorithm influence in the evolution of cooperation in a population. …

… cell either changing state, or remaining in its current state, as described later. The state of a
… Based on hybrid genetic algorithm and cellular automata combined traffic signal control and …

… In this work we investigated models based on cellular automata applied to this task. We …
evolutionarycooperative method is proposed, using the search power of a genetic algorithm …

… analysis is performed between five different popular MOEAs namely, nondominated sorting
genetic algorithm … IIa), multi-objective evolutionary algorithm based on decomposition (MOEA/…

… by associating genetic … evolution discovers innovations in the space of chemical and physical
functionalities, we explore how the addition of genetic information enables an evolutionary …

… terms of cellular automaton [4] (CA) is proposed to analyze this issue. Genetic algorithm (GA…
for the to-be-solved optimization problem, evolve by applying operators of crossover, elitism, …

… This work uses the Non-dominated Sorting Genetic Algorithm II (NSGA-II) proposed by
Deb et al. (2002), because of its demonstrated ability to tune LUCA model parameters (Trunfio, …

… the gas phase, AUTOMATON, is introduced in this work. This … a simplified probabilistic cellular
automaton method, which … are selected to evolve, through genetic operations (mating and …