Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

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

The bat algorithm (BA) has fast convergence, a simple structure, and strong search ability.
However, the standard BA has poor local search ability in the late evolution stage because it …

This paper couples an adaptive neuro-fuzzy inference system (ANFIS), with two heuristic-
based computation methods namely biogeography-based optimization (BBO) and BAT …

Optimization can be defined as an effort of generating solutions to a problem under bounded
circumstances. Optimization methods have arisen from a desire to utilize existing resources …

This paper presents a maximum power point tracking (MPPT) method for photovoltaic
system under partial shading conditions using bat algorithm (BA). The bat algorithm is a …

In the competitive power industry environment, electricity price forecasting is a fundamental
task when market participants decide upon bidding strategies. This has led researchers in …

A bat algorithm (BA) is a heuristic algorithm that operates by imitating the echolocation
behavior of bats to perform global optimization. The BA is widely used in various …

The bat algorithm (BA) is one of the metaheuristic algorithms that are used to solve
optimization problems. The differential evolution (DE) algorithm is also applied to …

In tribology, a considerable number of computational and experimental approaches to
understand the interfacial characteristics of material surfaces in motion and tribological …