Heuristic and Meta-heuristic Algorithms
Meta-heuristic algorithms as tools for hydrological science
... by meta-heuristic ...Other meta-heuristic algorithms (including ACO, PSO, SA, and TA) have also been applied in hydrological sciences, although their applications are much more lim- ...
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Three Meta-heuristic Algorithms for the Single-item Capacitated Lot-sizing Problem (RESEARCH NOTE)
... Two meta-heuristic algorithms (HGA and SA) were ...popular heuristic methods from the fields of evolutionary computation and swarm intelligence, namely particle swarm optimization, ...
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Meta heuristic algorithms for optimized network flow wavelet based image coding
... various algorithms have been proposed to provide greater and efficient performance of ...Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) are significant approaches to resolve the ...
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Design of an Optimized Micro Strip Patch Antenna using Meta Heuristic Algorithms
... the meta-heuristic algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization ...optimization algorithms, performance of the antenna has been ...
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Comparative Analysis of Meta-Heuristic Algorithms based on their Application Areas in SRGM
... Various algorithms based on the natural behaviour of some special kind of animals, are been introduced, which are also known as Meta-heuristic ...These algorithms are used widely in many areas ...
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Design of Multiplier less Reconfigurable Non uniform Channel Filters using Meta heuristic Algorithms
... context, meta-heuristic algorithm is a good choice as it can be tailor made to suit the problem under ...Several meta-heuristic algorithms are modified in this paper to be used for the ...
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Two meta-heuristic algorithms for the dual-resource constrained flexible job-shop scheduling problem
... two meta-heuristic algorithms, namely Simulated Annealing (SA), and Vibration Damping Optimization (VDO), to solve the ...proposed algorithms make use of various neighborhood structures to ...
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Optimal Idle Speed Control of a Natural Aspirated Gasoline Engine Using Bio-inspired Meta- heuristic Algorithms
... In accordance with the previous investigations, ICEs are evidenced to be high nonlinear systems. That is to say, a controller that is designed for one operating condition may not function properly for another, i.e. the ...
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Modeling the Time Windows Vehicle Routing Problem in Cross-Docking Strategy Using Two Meta-Heuristic Algorithms
... Two meta-heuristic algorithms based on the Tabu search (TS) algorithm and variable neighborhood search (VNS) are proposed for its ...These algorithms are designed for real-world cases and can ...
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Time Series Predictive Analysis based on Hybridization of Meta-heuristic Algorithms
... hybrid meta-heuristic methods to predict the weather five days in ...identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee ...
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A survey on feature selection to perform classification using Meta Heuristic algorithms in Data Mining Domain
... The piece of input data is formally termed an instance, and the categories are termed classes. The instance is formally described by a vector of features, which together constitute a description of all known ...
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Determination of the Aircraft Landing Sequence by Two Meta-Heuristic Algorithms
... population, simple heuristic method, genetic algorithm etc.. have been developed to solve ALSP. Although, more than 60 papers in the field of optimizing aircrafts landing have been provided in the past three ...
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Time–Cost–Quality Trade-O in a Broiler Production Project Using Meta-Heuristic Algorithms: A Case Study
... The algorithms used in this study were performed by MATLAB 2014a software (MathWorks, Natick, MA, USA). In the MOPSO algorithm, each solution for the problem identified is equal to one particle. The proposed ...
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Evaluating performance of meta-heuristic algorithms and decision tree models in simulating water level variations of dams’ piezometers
... The present study is aimed to simulate the water level in piezometers of Jiroft double- curvature arch dam in Kerman province, Iran, using three samples of MLP artificial neural networks (with Levenberg-Marquardt ...
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How meta-heuristic algorithms contribute to deep learning in the hype of big data analytics
... [9]. Meta- stands for some high-level control logics, that controls some rules underneath or embraced in an iterative operation which try to improve the current solution generation after ...of algorithms ...
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Design of Worker Assignment in a Dynamic Cellular Manufacturing System by Meta-heuristic Algorithms
... surroundings are projected changes of demand or production process for several time periods. Hence workers have a important role in performing the jobs on the machines, assignment of workers to cells become a major ...
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Addressing the Freight Consolidation and Containerization Problem by Recent and Hybridized Meta-heuristic Algorithms
... 3. 2. Red Deer Algorithm (RDA) Although many methods have been developed in the recent two decades, but just only a few of them considered and discussed the two important phases; exploration and exploitation, and their ...
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A Comparative Study on Heuristic and Meta Heuristic Approach in Solving a Capacitated Vehicle Routing Problem
... to meta-heuristics. Meta-heuristics delivers better results in most of the ...classical algorithms can also provide accurate result which indicates that no single heuristic will always produce ...
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A Meta-Heuristic Approach to Predict Protein-Protein Interaction Network
... using meta-heuristic algorithms to optimize individual ...of algorithms to address the optimization problem, very few of them can capture the global optima as the objective surfaces have ...
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Designing a Meta-Heuristic Algorithm Based on a Simple Seeking Logic
... of Meta-heuristics Although the favourable performance of SEA has been shown in previous sections, it cannot be claimed that this algorithm has a desirable performance for the entire ...continuous ...
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