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Bat-inspired Optimization Algorithm

A 
		Bat Inspired strategy for pairwise testing

A Bat Inspired strategy for pairwise testing

... of Bat Algorithm appears alluring given that its use has not been sufficiently explored as the basis of a pairwise ...the Bat Algorithm over existing counterparts is also ...the Bat ...

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Nature inspired metaheuristic algorithms a comparative review

Nature inspired metaheuristic algorithms a comparative review

... An optimization algorithm is a procedure which is executed iteratively by comparing various solutions till an optimum or a satisfactory solution is ...the optimization problems because of their easy ...

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Woodpecker Mating Algorithm (WMA): a nature-inspired algorithm for solving optimization problems

Woodpecker Mating Algorithm (WMA): a nature-inspired algorithm for solving optimization problems

... solve optimization problems. SI was inspired by the collective behaviour of a swarm of social insects and other animal ...Swarm Optimization (PSO) [26, 27] , Artificial Bee Colony (ABC) [28], Ant ...

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A Nature Inspired Meta-Heuristic Optimization Algorithm for a Packet-Switched Network Routing

A Nature Inspired Meta-Heuristic Optimization Algorithm for a Packet-Switched Network Routing

... Colony Optimization (ACO) to Whale Optimization Algorithm ...Modern optimization algorithms like Bat Optimization, Artificial Bee Colony Optimization, Particle Swarm ...

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Classifier Model for Intrusion Detection Using          Bio-inspired Metaheuristic Approach

Classifier Model for Intrusion Detection Using Bio-inspired Metaheuristic Approach

... selection algorithm is a blend of search methods which proposes new feature ...algorithms inspired by the behaviour of animals has been successfully applied to optimization, robotics and military ...

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Rough Set Feature Selection Using Bat Algorithm

Rough Set Feature Selection Using Bat Algorithm

...  Bat-inspired algorithm is a metaheuristic optimization algorithm developed by Xin- She Yang in ...This bat algorithm is based on the echolocation behaviour of micro bats ...

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A Comparative Study of Flower Pollination Algorithm and Bat Algorithm on Continuous Optimization Problems

A Comparative Study of Flower Pollination Algorithm and Bat Algorithm on Continuous Optimization Problems

... real-world optimization problems are very complex and challenging to solve, and many applications have to deal with these ...approximate optimization algorithms have to be used, though there is no guarantee ...

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A Comparison between Bat Algorithm and Cuckoo Search for Path Planning

A Comparison between Bat Algorithm and Cuckoo Search for Path Planning

... Real Bat Algorithms for Routing Search Optimization of Graph Based Road ...Binary Bat Algorithm (WCBBA), another as Real Bat Algorithm (RBA) and the third as the hybrid of the ...

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Nature Inspired Algorithms: State of Art, Problems and Prospects

Nature Inspired Algorithms: State of Art, Problems and Prospects

... nature inspired algorithms such as cuckoo algorithm, firefly algorithm and bat algorithm for small dimensions on various benchmark ...swarm optimization, ant colony ...

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Modified Animal Migration Optimization          Algorithm for Numerical Function Optimization

Modified Animal Migration Optimization Algorithm for Numerical Function Optimization

... are inspired by intelligent behavior of living beings like firefly algorithm (FA) [3] , cuckoo search (CS) [4, 5] , bat algorithm (BA) [6] , artificial bee colony (ABC) [] , monkey ...

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A Comparative Study of Biology-inspired and Game Theoretical Optimization Algorithms on Power Utilization Efficiency in Cognitive Radio Environment

A Comparative Study of Biology-inspired and Game Theoretical Optimization Algorithms on Power Utilization Efficiency in Cognitive Radio Environment

... theoretical algorithm, players maximize their opponent’s choices by choosing a strategy or strategies that will maximize profits for ...theoretical algorithm is therefore based on the principle that players ...

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Tuned Simulated Annealing Based on Boltzmann and Bose-Einstein Distribution Applied to Maxsat Problem

Tuned Simulated Annealing Based on Boltzmann and Bose-Einstein Distribution Applied to Maxsat Problem

... In this paper, a hybrid Simulated Annealing algorithm using Boltzmann and Bose-Einstein Distributions (SABBE) is proposed. SABBE was designed for solving satisfiability (SAT) instances, and it has three phases: i) ...

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An Ant Inspired Bacterial Foraging Methodology Proposed to Solve Open Shop Scheduling Problems

An Ant Inspired Bacterial Foraging Methodology Proposed to Solve Open Shop Scheduling Problems

... Colony Optimization algorithm is well known for its shortest path finding technique first proposed by ...ACO algorithm is based on food searching behavior of ant ...ACO algorithm is a ...

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Optimal Allocation of SVC for Enhancement of Voltage Stability Using Harmony Search Algorithm

Optimal Allocation of SVC for Enhancement of Voltage Stability Using Harmony Search Algorithm

... meta-heuristic optimization technique known as Harmony Search Algorithm is used to determine the optimal location and size of static Var compensator (SVC) in a transmission ...multi-objective ...

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Review of Recent Nature-Inspired Optimization Techniques for Fuzzy Controller Parameters

Review of Recent Nature-Inspired Optimization Techniques for Fuzzy Controller Parameters

... This paper presents an in-depth review of nature-inspired metaheuristic optimization algorithms used for fuzzy control parameters design. Fuzzy Logic is a technique that incorporates heuristics developed by ...

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Efficiency of Bat Optimization Algorithm in Optimal Reactive Power Dispatch Problems

Efficiency of Bat Optimization Algorithm in Optimal Reactive Power Dispatch Problems

... Sum of voltage deviation at all the load buses of the system is the objective taken in this case. The strength of the proposed algorithm is proved by comparing its results with other algorithms like HFA, FA, ...

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A Quantitative Analysis of Algorithms for Energy Efficient Coverage in WSN

A Quantitative Analysis of Algorithms for Energy Efficient Coverage in WSN

... each algorithm has its unique ...Greedy algorithm uses mathematical calculation only. Ant colony optimization algorithm is a good solution for finding shortest path between the sensor nodes ...

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Bat Optimization Algorithm for Preamble Separation and Allocation using Prioritization Method

Bat Optimization Algorithm for Preamble Separation and Allocation using Prioritization Method

... reducing algorithm and hence, to overcome this issue, a novel approach termed Improved Load- Adaptive Throughput-Maximizing Preamble Allocation (ILATMAPA) is been introduced in this research ...work. Bat ...

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GENETIC ALGORITHM: APPLICATIONS TO LINEAR AND INTEGER PROGRAMMING PROBLEMS

GENETIC ALGORITHM: APPLICATIONS TO LINEAR AND INTEGER PROGRAMMING PROBLEMS

... Step 3: Genetic algorithm starts with reproduction of initial population. We choose the mating pool of the next generation by spinning the weighted roulette wheel four times. Actual simulation of this process ...

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Performance analysis of Modified Shuffled Frog leaping Algorithm for Multi-document Summarization Problem

Performance analysis of Modified Shuffled Frog leaping Algorithm for Multi-document Summarization Problem

... The proposed framework of document summarization is illustrated in Figure 2. Primary objective of this approach is to generate a document in summarized form, from a set of input documents. First of all, for each ...

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