Now showing items 1-3 of 3
Utilizing cumulative population distribution information in differential evolution
Differential evolution (DE) is one of the most popular paradigms of evolutionary algorithms. In general, DE does not exploit distribution information provided by the population and, as a result, its search performance is ...
Disturbed exploitation compact differential evolution for limited memory optimization problems
This paper proposes a novel and unconventional Memetic Computing approach for solving continuous optimization problems characterized by memory limitations. The proposed algorithm, unlike employing an explorative evolutionary ...
Scale Factor Inheritance Mechanism in Distributed Differential Evolution
This article proposes a distributed differential evolution which employs a novel self-adaptive scheme, namely scale factor inheritance. In the proposed algorithm, the population is distributed over several sub-populations ...