[PDF] Top 20 Embodied Evolution: Distributing an evolutionary algorithm in a population of robots

... Fig. 6. Pseudo-code of control program that implements the Probabilistic Gene Transfer Algorithm (PGTA). This code is run on every robot. No methods for synchronizing or coordi- nating the robots, nor any ... See full document

... the evolutionary substrate for an artificial culture, as new behavioural patterns may emerge and be transferred between ...real robots are used to model imitation between artificial agents. The ... See full document

... genetic algorithm was based on the mutation of initial individuals and the worst parents were replaced by their improved ...complete evolutionary process was composed by 500 generations of 20 teams of six ... See full document

... including population-based ...of distributing credit proportionately to the respective ...in evolution (both natural and artificial) that places bounds on any analysis of ... See full document

... 83 | P a g e generators are assumed to be monotonically increasing piece-wise linear functions, such an approach will not be workable for non-linear functions in practical systems. In past decade, conventional ... See full document

... algorithms, evolutionary algorithms can generate a nearly optimal solution in a reasonable computational ...In evolutionary algorithm-based antenna-array synthesis procedures, phased excitations are ... See full document

... schedules. Evolutionary algorithms have had some success in solving the canonical Job-Shop Scheduling Prob- lem (Davis, 1985; Mesghouni et al, 2004), a problem that is representative of industrial tasks ranging ... See full document

... Evolutionary algorithm belongs to class of general stochastic search ...of Evolutionary computation which is a generic population based metaheuristic optimization algorithm ...search ... See full document

... The mutation operator is a binary traditional mutation scheme with random choice of bits to be muted. We use the offspring replacement scheme which is called Selective Breeding. The fitness value of all children ... See full document

... of evolutionary computation to consensus biosequence ...[29]. Evolutionary algorithms have also been applied to the specific problem of motif ...of evolutionary computation with regard to ... See full document

... the algorithm used for prediction, issues con- cerned with the ethics of AI in general but which are increas- ingly critical when AI is used in a health care ... See full document

... Range-free or proximity based localization schemes rely on the topological information, e.g., hop count and the connectivity information, rather than range information. Range-free localization schemes may or may not be ... See full document

... novel algorithm for distributing the coalitional value calculations among coop- erative ...the algorithm can be modified to reflect variations in the agents’ computational speed, analyzed the case in ... See full document

... each algorithm has proposed a separate and new method for avoiding ...field algorithm and then modify this algorithm in Section ...(SDRE) algorithm is studied on the motion design of ... See full document

... new embodied model handwritten digit recognition [32], which incorporates the neural link observed in recent neuroscientific studies [4], with the aim to investigate the effectiveness of the embodied ... See full document

... the Evolutionary Computation field are (i) finding out on what class of landscapes a certain search algorithm performs well and why, and (ii) devising a more systematical approach to runtime analysis to ... See full document

... of robots through different artificial intelligence techniques including Neural Network, Particle Swarm Optimisation (PSO),Fuzzy Logic, Genetic Algorithm and additional Artificial Intelligence ...of ... See full document

... an evolutionary process, this paper proposes a predic- tive approach to the reproduction mechanism of new individuals for differential evolution (DE) ...whilst evolution strategy (ES) uses a ... See full document

... sophisticated evolutionary algorithms. EM algorithm [14] developed by Lawrence and Reilly is a greedy algorithm based method to find ...EM algorithm finds motifs in unaligned biological ... See full document

... Figure 6: Figure (a) plots the mean subpopulation temperature against the home fidelity h for a complete population structure with 3 subpopulations of size 2 each. Figure (b) then plots the fixation probabilities ... See full document