An adaptive differential evolution with an optimization system based on a diversification algorithm

摘要

An adaptive differential evolution and diversification algorithm-based optimization system consisting of:an initialization module comprising a trigger mechanism for triggering the initial phase of the system, performing a random generation of an initial population by creating a population of individuals with multiple dimensions and assigning random values to each dimension; an adaptive mechanism using enhanced adaptation techniques to adjust the mutation rate and crossover rate based on generational progress, using mutation strategies and crossover operations;to calculate an experimental solution and then combine it with the original solution to create a new candidate solution; a termination detection mechanism configured to repeat the operation of the adaptive mechanism for a predefined number of generations, the termination detection mechanism using an end detection technique that allows stopping a new generation when the maximum number of generations reaches the limit or the fitness value for a specified number of generations stagnates successive generations; and an output module comprising a user display,which is configured to display the best solution and fitness history stored in a memory module.