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Soft Computing by Udit Chakraborty, Samir Roy

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12

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Key Concepts

Boltzman constant, Charles Darwin, Chromosome, Chromosome encoding/decoding, Convergence, Cooling schedule, Crossover, Crossover probability, DNA, Dominance relation, Elitism, Euclidean distance, Fitness function, GA parameters, Genetic algorithms (GAs), Initial population, Mating pool, Maximization, Minimization, Multi-cut-point crossover, Multi-objective fitness, Multi-objective GAs, Mutation, Mutation probability, Natural evolution, Natural selection, Niche count, Niche size, Normalized fitness function, One cut-point crossover, Optimization problems, Pareto-optimal front, Pareto-optimal ranking, Pareto-optimal solution, Population, Population size, Roulette wheel selection, Selection, Shared fitness ...

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