The bat algorithm (BA), a metaheuristic algorithm developed by Xin-She Yang in 2010, has since been modified, and applied to numerous practical optimization problems in engineering. This chapter is a survey of the BA, its variants, some sample real-world optimization applications, and directions for future research. © Springer International Publishing AG 2018.

Jayabarathi T

Department of Electrical Engineering

School of Electrical Engineering

Vellore Campus

Raghunathan T

Department of Control and Automation

Gandomi A.H.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

&nbsp;

&nbsp;

VIT University

The Bat Algorithm, Variants and Some Practical Engineering Applications: A Review

Nature-Inspired Algorithms and Applied Optimization Studies in Computational Intelligence

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 equality and inequality constraints such as power balance, prohibited operating zones and ramp rate limits. Transmission losses and multiple fuel options are also considered for some problems. The chaotic bat algorithm, a variant of the basic bat algorithm, is obtained by incorporating chaotic sequences to enhance its performance. Five different example problems comprising 6, 13, 20, 40 and 160 generating units are solved to demonstrate the effectiveness of the algorithm. The algorithm requires little tuning by the user, and the results obtained show that it either outperforms or compares favorably with several existing techniques reported in literature. © 2016 Elsevier Ltd.

Energy

Economic dispatch using chaotic bat algorithm

This paper presents a novel, soft computing based solution to a complex optimal control or dynamic optimization problem that requires the solution to be available in real-time. The complexities in this problem of optimal guidance of interceptors launched with high initial heading errors include the more involved physics of a three dimensional missile-target engagement, and those posed by the assumption of a realistic dynamic model such as time-varying missile speed, thrust, drag and mass, besides gravity, and upper bound on the lateral acceleration. The classic, pure proportional navigation law is augmented with a polynomial function of the heading error, and the values of the coefficients of the polynomial are determined using differential evolution (DE). The performance of the proposed DE enhanced guidance law is compared against the existing conventional laws in the literature, on the criteria of time and energy optimality, peak lateral acceleration demanded, terminal speed and robustness to unanticipated target maneuvers, to illustrate the superiority of the proposed law. © 2013 Elsevier B.V.

Applied Soft Computing

Differential evolution based 3-D guidance law for a realistic interceptor model

Journal of Energy Storage

Optimal design of model predictive control with superconducting magnetic energy storage for load frequency control of nonlinear hydrothermal power system using bat inspired algorithm

Swarm and Evolutionary Computation

An efficient side lobe reduction technique considering mutual coupling effect in linear array antenna using BAT algorithm

Pattern Recognition Letters

A BA-based algorithm for parameter optimization of Support Vector Machine

Journal	Data powered by TypesetNature-Inspired Algorithms and Applied Optimization Studies in Computational Intelligence
Publisher	Data powered by TypesetSpringer International Publishing
ISSN	1860-949X
Open Access	No