Titlebook: Evolutionary Learning: Advances in Theories and Algorithms; Zhi-Hua Zhou,Yang Yu,Chao Qian Book 2019 Springer Nature Singapore Pte Ltd. 20

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Approximation Analysis: SEIPcompetition among solutions and offers a general characterization of approximation behaviors. The framework is applied to the set cover problem, delivering an .-approximation ratio that matches the asymptotic lower bound.

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Boundary Problems of EAsgorithm. Through the derived theorem, the easiest and hardest functions in the pseudo-Boolean function class with a unique global optimal solution are identified for (1+1)-EA with any mutation probability less than 0.5.

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