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Phillipe's excellent answer covers the crux of the subject, so I'm just going to state the obvious: the key difference is the medium and timescale. Biological evolution is a function of the natural world, and typically occurs over a long time span, depending on the organisms and how quickly they produce new generations. (We typically think of biological ...


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Philip's answer is good, but I'll add to it. In a GA, a population of individuals (typically represented by bit strings) is evaluated for its fitness on a particular task. Each individual is evaluated separately by a fitness function than can determine its quality. In the Traveling Salesman Problem, the bit string might represent a sequence of numbers, for ...


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A genetic algorithm is typically a single population designed to optimise to a specific task, say minimising the distance on the travelling salesman problem. Evolutionary game theory algorithms typically model changes between populations that are in competition, generally by using genetic algorithms as above but framed within a broader competitive ...


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My answer is with respect to game theory persceptive, Replicator Dynamics is one of core concept of evolutionary game theory algorithm which means rate of adapdation with respect to rate of change in population. Whenever there is change in the system replicator dynamics will help to adapt with the change with respect to utility function. Replicator ...


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In the paper Exploiting Open-Endedness to Solve Problems Through the Search for Novelty (2008), by Joel Lehman and Kenneth O. Stanley, which introduced the novelty search approach, it is written Thus this paper introduces the novelty search algorithm, which searches with no objective other than continually finding novel behaviors in the search space. and ...


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