Evolutionary algorithm (EA) emerges as an important optimization and search technique in
the last decade. EA is a subset of Evolutionary Computations (EC) and belongs to set of …

River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

This article gives a comprehensive introduction into one of the main branches of
evolutionary computation–the evolution strategies (ES) the history of which dates back to the …

A variety of Reinforcement Learning (RL) techniques blends with one or more techniques
from Evolutionary Computation (EC) resulting in hybrid methods classified according to their …

This review paper closely explores the techniques and significances of the most potent
artificial intelligence (AI) approaches in a concise and integrated way, specifically in the …

From the explosion of interest, research, and applications of evolutionary computation a new
field emerges-evolutionary electronics. Focused on applying evolutionary computation …

In recent years, a gradual increase in the sophistication of multiobjective evolutionary
algorithms (MOEAs) for Pareto optimization has been seen, accompanied by an ever …

Soft computing approaches are contributing to various areas of real-world problems. These
techniques are being used in optimization problems, feature selection, classification as well …

Given the complexity of urban wind flow, acceptable wind conditions can hardly be achieved
in all regions within an urban area. In some regions, high wind speeds can lead to wind …

Reactive power optimization and voltage control is one of the most critical components of
power system operation, impacting both the economy and security of system operation. It is …