Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of
bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf …

This paper surveys strategies applied to avoid premature convergence in Genetic
Algorithms (GAs). Genetic Algorithm belongs to the set of nature inspired algorithms. The …

Energy forecasting plays an important role in effective power grid management. The
widespread adoption of emerging technologies and the increased reliance on renewable …

JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in
comparison with other evolutionary optimization algorithms. However, it suffers from the …

In this paper, atom search optimization (ASO) algorithm and a novel chaotic version of it
[chaotic ASO (ChASO)] are proposed to determine the optimal parameters of the fractional …

The rise and integration of Industry 4.0 has led to a growing focus on the flexible job-shop
scheduling problem (FJSP). As an extension of the classic job-shop scheduling problem …

This paper presents the application of a new metaheuristic optimization algorithm, the
chaotic bat algorithm for solving the economic dispatch problem involving a number of …

Vegetation evolution (VEGE) is a newly proposed meta-heuristic algorithm (MA) with
excellent exploitation but relatively weak exploration capacity. We thus focus on further …

This paper investigates the operation of a hybrid power system through a novel fuzzy control
scheme. The hybrid power system employs various autonomous generation systems like …

There are many machine learning approaches available and commonly used today,
however, the extreme learning machine is appraised as one of the fastest and, additionally …