genetic ant colony optimization
Ant Colony Optimization with Genetic Operations
... of Ant Colony Optimization (ACO) ...by Genetic operations (GO) incorporated into ACO ...with ant generated strings which still have to provide feasible ...solutions. Genetic ...
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Optimization of Fairhurst Cook Model for 2 D Wing Cracks Using Ant Colony Optimization (ACO), Particle Swarm Intelligence (PSO), and Genetic Algorithm (GA)
... These steps repeated several times, in order to achieve better results of wedg- ing force without exiting the valid range for each parameter and as it can be seen in this table, Particle Swarm Intelligence (PSO) ...
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Natural Computing Applied to the Underground System: a Synergistic Approach for Smart Cities
... It is inferred from this paper that the wide spectrum of applications that can be extracted from Natural Computing and applied to the smart city is massive, see [37,38]. Moreover, as it has been pointed out along the ...
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AHP COA Combined Algorithm for Selecting a Digital Production Machine Design
... multi-objective optimization problems: such as Ant Colony algorithm, COA (Cuckoo Algorithm, Genetic algorithm, particle swarm optimization algorithm, fuzzy optimization ...
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Fire Fly and Artificial Bees Colony Algorithm for Synthesis of Scanned and Broadside Linear Array Antenna
... 8], genetic algorithm [9], ant colony optimization [10], particle swarm optimization [11–13], invasive weed optimization [14], Taguchi’s optimization method [15, 16], ...
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Evaluation on GA based Model for solving JSSP
... The optimization techniques such as Genetic algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Simulated Annealing (SA), ...an optimization ...
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Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
... lead optimization and pre-clinical in vitro & in vivo ...Swarm Optimization, Ant Colony Optimization, Artificial Neural Network, Fuzzy logic, Genetic Algorithm, ...
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Simulation optimization based ant colony algorithm for the uncertain quay crane scheduling problem Pages 111-132 Download PDF
... Wheel Optimization heuristic were used to tackle the hardest ...efficient genetic algorithm to address the problem. The efficiency of the genetic algorithm was tested on forty random instances with ...
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Comparative Analysis of Clustering by using Optimization Algorithms
... swarm optimization is more as compare to other optimization algorithms named as genetic algorithm and ant colony optimization algorithm in classification ...swarm ...
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A comprehensive review of swarm optimization algorithms
... including Genetic algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Differential Evolution (DE), Artificial Bee Colony (ABC), Glow- worm Swarm ...
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Download Download PDF
... sections, genetic algorithms, ant colony optimization, particle swarm optimization, simulat- ed annealing, differential evolution, and teaching-learn- ing-based optimization, and ...
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Research Progress of Intelligent Optimization Algorithm in Big Data Background
... decades, genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), Artificial Fish School Algorithm, Bacteria Foraging Optimization Algorithm ...
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A Review on Multilevel Thresholding using Genetic Algorithm and Ant Colony Optimization
... A genetic algorithm (GA) is a search heuristic that mimics the process of natural ...other optimization problems. Genetic algorithm is a part of soft computing a branch of computer science that deals ...
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Machine Vision Optimization using Nature-Inspired Algorithms to Model Sunagoke Moss Water Status
... Therefore optimization is needed to improve the performance of machine ...Objective Optimization (MOO) was used to select 212 image features to get maximum prediction accuracy and minimum number of features ...
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Job Scheduling in Grid Computing with Cuckoo Optimization Algorithm
... as Genetic, Simulated Annealing (SA), Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) to solve the problem in the grid schedule has been ...Cuckoo ...
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Hybrid of Genetic Algorithm and Continuous Ant Colony Optimization for Optimum Solution
... CACO algorithm was a first attempt on the field of continuous optimization. It is suggested for a local search in the neighborhood of the place called nest. The CACO authors supposed to find this place by a global ...
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A Hybrid Method to Solve Travelling Salesman Problem
... multiple ant clans concept from parallel genetic algorithm to search solution space utilizing various islands to avoid local minima and thus can yield global minimum for solving the ...modified ant ...
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Distribution Network Expansion Using Hybrid SA/TS Algorithm
... (TS), Genetic Algorithm (GA), Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) are the famous modern algorithms which have been used for distribution network planning ...
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Ant Colony Optimization Algorithm
... of this type of representation is the implicit re-use of nodes in the directed graph. Originally CGP used a program topology defined by a rectangular grid of nodes with a user defined number of rows and columns. In CGP, ...
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Survey on Ant Colony Optimization
... range that acquires bulk of time accompanied with a large search space. Consequently, their performance can be enhanced by using some Meta heuristic algorithms in an attempt to shrink the search space. Some of the Meta ...
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