Research Article
An Adaptive Cauchy Differential Evolution Algorithm for Global Numerical Optimization
Algorithm 1
Adaptive Cauchy DE.
| /* Initialization */ | | Generate the initial population | | Evaluate the initial population | | FOR to NP DO | | | | END FOR | | | | WHILE The termination condition is not satisfied DO | | /* Mutation operation */ | | FOR to NP DO | | Generate a mutant vector | | Randomly select three donor vectors | | | END FOR | | | | /* Crossover operation */ | | FOR to NP DO | | Generate a trial vector | | Select a random number lying between | | FOR to DO | | IF or THEN | | | ELSE | | | END IF | | END FOR | | END FOR | | | | /* Selection operation */ | | | FOR to NP DO | | IF THEN | | | | | | ELSE | | | END IF | | END FOR | | | | /* Parameter adaptation */ | | IF THEN | | | | END IF | | FOR to NP DO | | | | END FOR | | END WHILE |
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