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Metaheuristic Algorithms

Metaheuristic Algorithms: Guidelines for Implementation

Metaheuristic Algorithms: Guidelines for Implementation

... The purpose of the current study was to investigate the essential steps in implementing of metaheuristic algorithms. Although an extensive literature is available describing the implementation of ...

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Component-wise analysis of metaheuristic algorithms for novel fuzzy-meta classifier

Component-wise analysis of metaheuristic algorithms for novel fuzzy-meta classifier

... with metaheuristic algorithms, to find the best from large number of available solutions (Yang, ...of metaheuristic algorithms over exact methods is attributed to effective search mechanisms ...

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A Review on Applications of Metaheuristic Algorithms in Multilevel Thresholding Image Segmentation

A Review on Applications of Metaheuristic Algorithms in Multilevel Thresholding Image Segmentation

... Metaheuristics Algorithms are well known as successful and efficient optimization methods for intractable ...of metaheuristic algorithms in multilevel thresholding of image segmentation problems on ...

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A Survey of Various Metaheuristic Algorithms Used to Solve VLSI Floorplanning Problem

A Survey of Various Metaheuristic Algorithms Used to Solve VLSI Floorplanning Problem

... In the context of circuit design, floorplanning is the process of placing circuit modules of arbitrary sizes and dimensions on a given layout area with an objective of minimizing area and wirelength between the modules ...

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Multi-echelon supply chain network modelling and optimization via simulation and metaheuristic algorithms

Multi-echelon supply chain network modelling and optimization via simulation and metaheuristic algorithms

... As mentioned earlier, Problem 1 is an NP-hard problem and, so, metaheuristic algorithms can be potentially appropriate for solving the problem. On the other hand, the SCN has several stochastic parameters ...

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Profile and wavefront optimization by metaheuristic algorithms for efficient finite element analysis

Profile and wavefront optimization by metaheuristic algorithms for efficient finite element analysis

... developed metaheuristic algorithm, called vibrating particles ...other metaheuristic algorithms consisting of the particle swarm optimization, colliding bodies optimization, enhanced colliding bodies ...

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Performance of Some Metaheuristic Algorithms for Multiuser Detection in TTCM Assisted Rank Deficient SDMA OFDM System

Performance of Some Metaheuristic Algorithms for Multiuser Detection in TTCM Assisted Rank Deficient SDMA OFDM System

... efficient metaheuristic algorithms based on Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) principles for Multiuser Detection (MUD) in Turbo Trellis Coded modulation- (TTCM-) based Space ...

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Comparison of Metaheuristic Algorithms through Application in Noisy Speech Signal using Adaptive Filtering Approach

Comparison of Metaheuristic Algorithms through Application in Noisy Speech Signal using Adaptive Filtering Approach

... In this section, MCS was compared to PSO, ABC and CS. Performance of the proposed scheme is computed by determining different fidelity parameters such as SNR, MSE and ME given by Eqs (12), (13) and (14) respectively In ...

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A new evaluation function for face image enhancement in unconstrained environments using metaheuristic algorithms

A new evaluation function for face image enhancement in unconstrained environments using metaheuristic algorithms

... optimization algorithms generally find so- lutions for highly non-linear optimization tasks ...istic algorithms known to be effective, such as the par- ticle swarm optimization (PSO), genetic algorithm ...

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Nature inspired metaheuristic algorithms a comparative review

Nature inspired metaheuristic algorithms a comparative review

... found. Metaheuristic algorithms are considered to be the most efficient algorithms to solve the optimization problems because of their easy implementation and gives better ...inspired ...

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Metaheuristic Algorithms Based On the Law of Universal Gravitation for Data Grouping

Metaheuristic Algorithms Based On the Law of Universal Gravitation for Data Grouping

... to metaheuristic algorithms based on the law of universal gravitation applied to the task of grouping of data, it was evidenced that it is a little explored field without However, the investigations carried ...

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Comparative Analysis of Some Selected Metaheuristic Algorithms for Solving Intelligent Path Planning Problem of Mobile Agents

Comparative Analysis of Some Selected Metaheuristic Algorithms for Solving Intelligent Path Planning Problem of Mobile Agents

... the metaheuristic techniques (PSO, ACO, SA, GA), after which optimization is performed based on the selected optimization strategy for mobile agent path planning ...selected metaheuristic technique is done ...

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Multi-objective facility layout problems using BBO, NSBBO and NSGA-II metaheuristic algorithms   Pages 239-262
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Multi-objective facility layout problems using BBO, NSBBO and NSGA-II metaheuristic algorithms Pages 239-262 Download PDF

... TS algorithms to solve QAP and obtained better results within reasonable computational time by Lim et ...NSBBO algorithms to find Pareto optimal solutions of multi- objective ...

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Appling Metaheuristic Algorithms on a Two Stage Hybrid Flowshop Scheduling Problem with Serial Batching (RESEARCH NOTE)

Appling Metaheuristic Algorithms on a Two Stage Hybrid Flowshop Scheduling Problem with Serial Batching (RESEARCH NOTE)

... constructive algorithms using job insertion techniques and iterative algorithms based on local ...heuristic algorithms for multiprocessor task scheduling in a two- stage hybrid ...

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A comprehensive model of demand prediction based on hybrid artificial intelligence and metaheuristic algorithms: A case study in dairy industry

A comprehensive model of demand prediction based on hybrid artificial intelligence and metaheuristic algorithms: A case study in dairy industry

... meta-heuristic algorithms including Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Invasive Weed Optimization (IWO), and Cultural Algorithm ...meta-heuristic algorithms such as IWO and ...

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Two parameter-tuned metaheuristic algorithms for the multi-level lot sizing and scheduling problem   Pages 751-766
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Two parameter-tuned metaheuristic algorithms for the multi-level lot sizing and scheduling problem Pages 751-766 Download PDF

... evolutionary algorithms are capable of providing highly cost- efficient solutions within reasonable computing load (Xiao et ...these algorithms have been considered by many ...evolutionary algorithms ...

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Design of fractional order pi controller using 
		metaheuristic algorithms applied to dc dc
		
		boost converter  a comparision

Design of fractional order pi controller using metaheuristic algorithms applied to dc dc boost converter a comparision

... control algorithms such as linear control theory [3], multi-loop control technique [4] have been applied to regulate dc to dc converter to attain a constant output ...

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Survey of Metaheuristic Algorithms for Combinatorial Optimization

Survey of Metaheuristic Algorithms for Combinatorial Optimization

... P. Hansen and Mladenovic (1997) introduced VNS for P- Median problem. Experiment shows that the proposed variable neighborhood search heuristic is quite better than other heuristics [50]. A.S.Wade and V. J. Rayward Smith ...

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Random adjustment - based Chaotic Metaheuristic algorithms for image contrast enhancement

Random adjustment - based Chaotic Metaheuristic algorithms for image contrast enhancement

... the algorithms were programmed and implemented in MatlabR211a, on personal com- puter with processor Intel Core i7-4500U, 8 GB RAM running memory, in Windows ...

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Detecting Spam Email With Machine Learning Optimized With Bio-Inspired Metaheuristic Algorithms

Detecting Spam Email With Machine Learning Optimized With Bio-Inspired Metaheuristic Algorithms

... classification algorithms and pro- vided the top 4 algorithms: Multinomial Naïve Bayes, Sup- port Vector Machine, Random Forest and Decision ...These algorithms were then tested and experimented with ...

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