meta-heuristic search algorithm
Hybrid Meta Heuristic Search Algorithm For High Dimensional Data Transmission
... hybrid meta-heuristic search algorithm by combining renowned Genetic Algorithm (GA) and Group Search Optimizer (GSO) in the name of hybrid GSO ...
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A new meta-heuristic algorithm: vibrating particles system
... many meta-heuristics with dierent philosophy and characteristics are introduced and ap- plied to a wide range of ...the search space in order to nd global or near-global ...Harmony Search (HS) [5], ...
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How meta-heuristic algorithms contribute to deep learning in the hype of big data analytics
... mixed-type search space optimization [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 ...
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Time Series Predictive Analysis based on Hybridization of Meta-heuristic Algorithms
... Cuckoo Search Algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) is presented which is realized in weather ...
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Meta Heuristic Search Technique for Dynamic Test Case Generation
... scatter search technique is a meta heuristic technique which is proven successful in real world applications such as travelling salesman ...scatter search algorithm is given as, ...
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AUDIO DATA AS AN ENCODING FOR COLOR QUICK RESPONSE CODE (CQR) 3D BARCODES
... a meta-heuristic algorithm that combines two techniques widely used in combinatorial optimization starting with the Wolverine (Greedy) algorithm which allows to build some initial solutions, ...
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Testing Soccer League Competition Algorithm in Comparison with Ten Popular Meta-heuristic Algorithms for Sizing Optimization of Truss Structures
... local search algorithm and non-linear programming approach in this black-box ...good algorithm in the initial phase of the search process for high dimensional ...HS algorithm also could ...
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TRACKING SEARCH CONTEXT: A META HEURISTIC USER SEARCH SESSION EXPLORATION APPROACH
... a search query log evaluation by enchanting into account the conceptual attributes of query ...a search query log after which reveal how we will utilize it to comparatively extract outcomes without ...
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A Comparison of Four Multi-Objective Meta-Heuristics for a Capacitated Location-Routing Problem
... (SA) algorithm is a well-known meta-heuristic algorithm for finding the optimal or near-optimal solution of a given function in a large search ...current search solution and T is ...
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The Cheapest Shop Seeker : A New Algorithm For Optimization Problem in a Continous Space
... population-based, meta-heuristic method for solving optimization problem in a continous domain based on a model that mimics the behavior of a group of shoppers collaborating together to identify the ...
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QoS-aware Video Transcoding Service Composition Process in a Distributed Cloud Environment
... (SA) algorithm and the Genetic Algorithm (GA), which are generic probabilistic meta-heuristic learning algorithms to solve the combinatorial multi-objective optimization ...large search ...
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Tuning of cuckoo search based strategy for t way testing
... to search of optimal solution for a large search ...civil. Meta-heuristics excel in this ...useful meta- heuristic algorithms have been developed in the literature ...Tabu Search ...
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Application of Firefly Algorithm in Job Shop Scheduling Problem for Minimization of Makespan
... genetic algorithm (GA), Selective breeding algorithm (SBA), taboo search algorithm and Ant colony algorithm [ are popularly known as Meta heuristic algorithms were proved ...
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Meta Heuristic Algorithm based on Ant Colony Optimization Algorithm, Tabu Search and Project Scheduling Problem (PSP) for the Traveling Salesman Problem
... (ACO) algorithm may produce redundant states in earlier steps, but if we combine ACO with Project Scheduling Problem (PSP) and Tabu Search adding a cost_effort function, the algorithm is better ...
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Combining Harmony search algorithm and Ant Colony Optimization algorithm to increase the lifetime of Wireless Sensor Networks
... proposed algorithm, to reduce energy consumption of the path, it was tried to consider the shortest path between the source node to the destination node with the highest average energy of nodes participating in ...
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Software Fault Prediction and Test Data Generation Using Articial Intelligent Techniques
... of meta-heuristic search techniques are analyzed in generating test ...various meta-heuristic techniques such as Genetic algorithm (GA), Particle swarm optimization (PSO), Clonal ...
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Design of Planar EBG Structures Using Cuckoo Search Algorithm for Power/Ground Noise Suppression
... Genetic Algorithm (GA) and Particle swarm optimization (PSO) techniques have been used for analysis of EBG structures [11, ...a meta-heuristic CS optimization algorithm has been employed for ...
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A Novel Adaptive Dragonfly Algorithm for Global Optimization Problems
... the meta-heuristic algorithms, randomization play a very important role in both exploration and exploitation where more randomization techniques are Markov chains, Levy flights and Gaussian or normal ...
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A Review of Discrete Optimization Heuristics
... Another meta-heuristic which relies on local search is called simulated ...annealing algorithm can be described in terms of a Markov ...
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Image Optimization using Cuckoo Search and Levy Flight Algorithms
... an algorithm for producing an optimized image with optimum threshold ...searching algorithm and how an optimal threshold value can be obtained by the application of meta-heuristic Cuckoo ...
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