A new modification approach on bat algorithm for solving optimization problems

Yılmaz, Selim; Küçüksille, Ecir Uğur

doi:10.1016/j.asoc.2014.11.029

Cited by 201 publications

(71 citation statements)

References 49 publications

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“…The exhaustive analysis proved that the proposed method produces outstanding results than original BAT Algorithm and Genetic Algorithm. www.ijacsa.thesai.org A new modified version of BAT Algorithm (BAT) introduced in [39], called as Enhanced BAT algorithm (EBA). Local and global searching features of BAT are modified to introduce a new version of BAT by using three different methods.…”

Section: Mutation Strategiesmentioning

confidence: 99%

An Overview of Mutation Strategies in Bat Algorithm

Bangyal¹,

Ahmad²,

Tayyab³

et al. 2018

ijacsa

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Abstract-Bat algorithm (BA) is a population based stochastic search technique encouraged from the intrinsic manner of bee swarm seeking for their food source. BA has been mostly used to resolve diverse kind of optimization problems and one of major issue faced by BA is frequently captured in local optima meanwhile handling the complex real world problems. Many authors improved the standard BA with different mutation strategies but an exhausted comprehensive overview about mutation strategies is still lacking. This paper aims to furnish a concise and comprehensive study of problems and challenges that prevent the performance of BA. It has been tried to provide guidelines for the researchers who are active in the area of BA and its mutation strategies. The objective of this study is divided in two sections: primarily to display the improvement of BA with mutation strategies that may enhance the performance of standard BA up to great extent and secondly, to motivate the researchers and developers for using BA to solve the complex real world problems. This study presents a comprehensive survey of the various BA algorithms based on mutation strategies. It is anticipated that this survey would be helpful to study the BA algorithm in detail for the researcher.

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Section: Mutation Strategiesmentioning

confidence: 99%

An Overview of Mutation Strategies in Bat Algorithm

Bangyal¹,

Ahmad²,

Tayyab³

et al. 2018

ijacsa

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“…Among the main algorithms used to form territorial communities, one can single out the genetic algorithm and the classical bats algorithm [4].…”

Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

Development of the method for territorial community formation based on multi-criteria swarm algorithm approach

Lytvyn¹,

Uhryn²,

Shevchuk³

et al. 2017

TAPR

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“…Bat Algorithm(BA) uses for the resource allocation scheme on closed access mode in femtocell network. This algorithm focuses on mitigating the co-tier and cross-tier interference in macrocell-femtocell network by selecting the best resource blocks for FUE [17]. There are two important components of bat that affect the search characteristic of the algorithm: First is the diversification also called as exploration and other characteristic is intensification also called as exploitation.…”

Section: ) Swarm Intelligense Algorithm(sia)mentioning

confidence: 99%

Nature Inspired Techniques for Interference Management in Femtocells: A Survey

Deshmukh¹,

Madankar²

2017

Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering

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Abstract-In the wireless communication system the transmitter and receiver close to each other to improve the data rates and capacity. Therefore, the wireless networks are more popular than the traditional wired services. In the wireless networks, to cover cells the low power nodes such as macrocells, picocells, femtocells base stations (BSs) deployed to improve the indoor coverage. The femtocell base station reduces operators operational cost, maintainance and infrastructure. At the time of femtocell deployment, the femtocell base station deal with a number of technical challenges, among those all the interference management is more important. In femtocell network, one femtocell creates the interference to its neighboring femtocells.To deal with interference management challenge number of researchers have suggested different types of solutions. The survey shows that nature inspired metaheuristic algorithm has the powerful impact on interference cancellation and avoidance.This survey paper focuses on bat algorithm for the resource allocation problem in a femtocell.

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A new modification approach on bat algorithm for solving optimization problems

Cited by 201 publications

References 49 publications

An Overview of Mutation Strategies in Bat Algorithm

An Overview of Mutation Strategies in Bat Algorithm

Development of the method for territorial community formation based on multi-criteria swarm algorithm approach

Nature Inspired Techniques for Interference Management in Femtocells: A Survey

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