期刊： Swarm and Evolutionary Computation, 2017; 32 ( )
In the fast developing world of today, automatic generation control (AGC) plays an incredibly significant role in offering inevident demand of good qu......
期刊： Swarm and Evolutionary Computation, 2017; 32 ( )
In the last decade, numerous new materials are rapidly emerging and developed; it creates considerable interest in the researcher to search out the op......
期刊： Swarm and Evolutionary Computation, 2017; 32 ( )
Given an edge-weighted graph G = (V, E) with vertex set V and edge set E, we study in this paper the following related balanced tree structure problem......
期刊： Swarm and Evolutionary Computation, 2017; 32 ( )
In this paper, a competitive memetic algorithm (CMA) is proposed to solve the multi-objective distributed permutation flow-shop scheduling problem (MO......
期刊： Swarm and Evolutionary Computation, 2017; 32 ( )
this work, we study the influence of the population size on the learning ability of Geometric Semantic Genetic Programming for the task of symbolic re......
期刊： Swarm and Evolutionary Computation, 2017; 32 ( )
Today's data mostly does not include the knowledge of cluster number. Therefore, it is not possible to use conventional clustering approaches to parti......
期刊： Swarm and Evolutionary Computation, 2017; 32 ( )
Population size of Differential Evolution (DE) algorithms is often specified by user and remains fixed during run. During the first decade since the i......
