function optimization problems. Experimental results show that

the performance of CPEA is improved when compared with

other evolutionary algorithms like Particle Swarm Optimization

(PSO) and Genetic Algorithms (GA). Furthermore, this...

This article proposes a new hybrid methodology,

together with an associated series of experiments

employing this methodology, for an evolutionary gait

generator that uses trigonometric truncated ...

-inspired Evolutionary Algorithms (QiEA) claim higher diversity in the population. Here, considering this important feature of QiEA, we propose different structures to offer better interaction between the q-individuals and propose new operators to preserve the diversity...

channels is evaluated and compared. In this paper, the main goal is to assess extensively the effect of hybrid models based
on optimized algorithms (ANFIS-DE) and multi-objective evolutionary algorithm (ANFIS-DE/SVD) in improvement of
performance of ANFIS...

A Diversity Preserving Cellular Quantum

Evolutionary Algorithm (DPCQEA) is proposed in which the

quantum individuals are located in a specific topology and

interact only with their neighbors. The proposed cellular...

This paper proposes a dynamic ring architecture

of interaction among members of population in a Quantum

Evolutionary Algorithms (QEA). The ring is allowed to

expand/collapse based on a sinusoidal population size and partial...

The gas turbine cycle either as an individual power production cycle or as a part of yet another cycle, is one of the most common industrials till now which, has been ever evaluated and analyzed. In the present ...