competitive algorithm
Nano Fiber Images Thresholding based on Imperial Competitive Algorithm
... imperialist competitive algorithm with the objective function inspired by k-means clustering algorithm to threshold the Nano fiber images and fiber segmentation have been proposed and accuracy of ...
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Reactive Power Optimization in Grid using Imperialist Competitive Algorithm
... Imperialist Competitive Algorithm (ICA) is a heuristic technique for optimization ...This algorithm is based on socio-politically inspired optimization ...Genetic Algorithm (GA) showing that ...
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Optimizing locomotive body structures using imperialist competitive algorithm
... An optimum designed structure is selected by considering the variables such as cost or weight of the structure after all the design constraints are satisfied. Determining optimum design is performed by considering and ...
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An Improved Imperialist Competitive Algorithm based on a new assimilation strategy
... Genetic Algorithm (GA) [2], Particle Swarm Optimization (PSO) [3], Ant Colony Optimization (ACO) [4], Differential Evolution (DE) [5], Gravitation Algorithm (GA) [6] and Firfly Algorithm [7] are some ...
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OPTIMIZATION OF OBJECT TRACKING BASED ON ENHANCED IMPERIALIST COMPETITIVE ALGORITHM
... In the basic Imperialist Competitive Algorithm (ICA), the countries represent the population which is basically divided into two groups (i.e., Colonies and Imperialists) based on their strength or fitness. ...
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Optimization of Fabric Layout by Using Imperialist Competitive Algorithm
... evolutionary algorithm (ES) and a type of heuristic packing algorithm ...BLF algorithm, then there is a possibility of producing higher efficiency marker using Imperialist Competitive ...
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A Hybrid Approach for Software Development Effort Estimation using Neural networks, Genetic Algorithm, Multiple Linear Regression and Imperialist Competitive Algorithm
... The accurate estimation of the software development effort is crucial for software projects. The tendency of researchers in recent years and increasing trend of researches proves the necessity to provide an appropriate ...
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APPLYING CHAOTIC IMPERIALIST COMPETITIVE ALGORITHM FOR MULTI-LEVEL IMAGE THRESHOLDING BASED ON KAPUR’S ENTROPY
... Imperialist competitive algorithm is an opti- mization algorithm introduced by Atashpaz and Lucas in 2007 ...This algorithm is inspired from a socio-political process started by some initial ...
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A φ competitive algorithm for scheduling packets with deadlines
... φ-competitive algorithm PlanM is presented in Section ...our algorithm is relatively ...The algorithm chooses p to maximize an appropriate linear combination of w p and w % ...
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Voltage Profile Index Enrichment and Dwindling of Real Power Loss by using Acclimatized Imperialist Competitive Algorithm
... Imperialist Competitive Algorithm (AICA) is proposed for solving reactive power dispatch ...Imperialist Competitive Algorithm (ICA) was recently introduced has shown its good performance in ...
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Solving a Redundancy Allocation Problem by a Hybrid Multi-objective Imperialist Competitive Algorithm
... competition algorithm (HMOICA), based on imperialist competitive algorithm (ICA) and genetic algorithm (GA) is proposed in multi-objective redundancy allocation ...genetic algorithm ...
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An O(log k) competitive algorithm for generalized caching
... This means that we only have to show that there is a labeling scheme that on one hand has a small re-labeling cost, i.e., the cost for re-labeling can be related to the cost of the LP-solution, and that on the other hand ...
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Learning automata and sigma imperialist competitive algorithm for optimization of single and multi-objective functions
... Hence, one of the primary concerns of this study is to develop a MOEA based on the newly introduced EAs to utilize their capabilities in the multi-objective domain. The new method uses fast non-dominated sorting and ...
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AN EFFICIENT ANALYSIS FOR COMPETITIVE ALGORITHM TO FIND BEST CLUSTERS
... Abstract— Cluster analysis is one of the attractive data mining techniques that have been used in many fields. One of the popular kind of clustering algorithms is the center based clustering algorithm. K-means ...
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A fractal image compression algorithm based on improved imperialist competitive algorithm
... their algorithm has a high speed, the retrieved image does not have enough ...FIC algorithm was observed despite a decrease in the quality of retrieved ...Their algorithm consists of two ...genetic ...
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Comparing Two Meta-Heuristic Approaches for Solving Complex System Reliability Optimization
... Genetic algorithm (GA) is a meta-heuristic approach that has been mostly applied to solve reliability optimization models ...colony algorithm is employed to find the optimal design of multi-state ...
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Comparison based buffer management in QoS switches
... greedy algorithm that always sends the packet with the greatest value is 2-competitive ...comparison-based algorithm is known for this ...1.939-competitive algorithm. Li, Sethuraman, ...
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Artificial Intelligence Approaches for GPS GDOP Classification
... Geometrical dilution of precision (GDOP) concept is a powerful and widespread quantify for determining the errors resulting from satellite configuration geometry. GDOP computation is based on the complicated ...
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Two parameter-tuned metaheuristic algorithms for the multi-level lot sizing and scheduling problem Pages 751-766 Download PDF
... imperialist competitive algorithm and genetic algorithm for solving the capacitated lot sizing and scheduling problem with backlogging in flow shop ...metaheuristics algorithm (ICA and ...
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Comparison of Evolutionary Optimization Techniques for Unconstrained
... Eusuff and Lansey in 2003[4] is a mementicmetaheuristic based on the frog behaviour. In the SFL, the population consists of a set offrogs (solutions) that is partitioned into subsets referred to as memeplexes. The ...
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