A New Binomial Crossover Considering Correlation Among Decision Variables for Adaptive Differential Evolution

Developing Adaptive Differential Evolution as a New Evolutionary Algorithm, Application in Optimization of Chemical Processes

Fixed vs. Self-Adaptive Crossover-First Differential Evolution

Although the Differential Evolution (DE) algorithm is a powerful and commonly used stochastic evolutionary-based optimizer for solving non-linear, continuous optimization problems, it has a highly unconventional order of genetic operations when compared against canonical evolutionary-based optimizers whereby in DE, mutation is conducted first before crossover. This has led us to investigate bot...

Power Mean Based Crossover Rate Adaptive Differential Evolution

Crossover rate (CR) is a key parameter affecting the operation of differential evolution (DE). According to the different status appear in CR adaptive process, the present paper employs power mean averaging operators to improve the value of CR in appropriate chance and propose a Power Mean based Crossover Rate Adaptive Differential Evolution (PMCRADE). The performance of PMCRADE is evaluated on...

A differential evolution algorithm to solve new green VRP model by optimizing fuel consumption considering traffic limitations for collection of expired products

The purpose of this research is to present a new mathematical modeling for a vehicle routing problem considering concurrently the criteria such as distance, weight, traffic considerations, time window limitation, and heterogeneous vehicles in the reverse logistics network for collection of expired products. In addition, we aim to present an efficient solution approach according to differential ...

Adaptive Differential Evolution with p-Best Crossover for Continuous Global Optimization

Differential Evolution (DE) is arguably one of the most powerful stochastic real parameter optimization algorithms in current use. DE operates through the similar computational steps as employed by a standard Evolutionary Algorithm (EA). However, unlike the traditional EAs, the DEvariants perturb the current-generation population members with the scaled differences of randomly selected and dist...