… The performance of differential evolution (DE) mainly depends on its breeding offspring
strategy (ie, trial vector generation strategies and associated control parameters). To take full …

… Differential Evolution (DE) is arguably one of the most powerful stochastic real-parameter
optimization algorithms of current interest. DE operates through the similar computational …

… functions in differential evolution algorithm, the … performance differential evolution algorithm
and make conclusions. Those metrics have great value and more details as DE performance…

… Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin’s theory
of evolution … are also evaluated by measuring the performance gains achieved in terms of …

… in DE based on fitness performance and the perturbation strategy (… fitness performance,
we force the scaling factor to obey a cosine distribution. Furthermore, when the current fitness of …

… ) scheme is used where DE stands for differential evolution, ‘rand’ specifies that the … differential
vectors and ‘bin’ notation is for binomial crossover. The popularity of Differential Evolution …

… Generally, the convergence performance … differential evolution algorithm with both fitness
and diversity ranking-based mutation operator (FDDE). Different from methods that use fitness …

… optimization algorithms, differential evolution (DE) has been … for mutation process, differential
evolution exploits the differences of … the characterization of the performance of several DE …

… It is known that the performance of the differential evolution (DE) algorithm highly depends
on the mutation strategy and its control parameters. However, it is arduous to choose an …

… As a continuation of this research, we are investigating the discrete version of differential
evolution based on the individual-dependent scheme. We are also identifying opportunities to …