Ant lion Optimization
Exploring Ant Lion Optimization Algorithm to Enhance the Choice of an Appropriate Software Reliability Growth Model
... paper, Ant Lion optimization (ALO) algorithm is proposed to optimize estimation of parameters and a choice procedure is used to select an appropriate model of the software reliability that best fit ...
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Ant Lion Optimization Based Controller Tuning for Automatic Generation Control of Multiarea Interconnected Thermal System
... tie-line. Ant lion optimization (ALO) algorithm is used to tune the controller ...swarm optimization (PSO) based controller to validate its ...
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Ant Lion Optimization for Optimum Power Generation with valve point effects
... presents Ant lion optimization (ALO) technique to solve Optimum Power Generation ...problem. Ant lion optimization (ALO) is a novel nature inspired ...
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Ant Lion Optimization Algorithm for Solving Non-convex Economic Load Dispatch
... Recently, a new meta-heuristic search algorithm, called ant lion optimization (ALO), has been developed by Mirjalili in 2015 [19]. In this paper, ALO algorithm has been used to solve ELD problem ...
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Best Compromise Solution of Economic Emission Load Dispatch Using Ant Lion Optimization
... presents ant lion optimization method for solving multi-objective economic emission load dispatch (EELD) problem in diverse test power ...here. Ant Lion Optimization (ALO) is a ...
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Optimal placement of capacitors in distribution systems for emission reduction using ant lion optimization algorithm
... novel optimization technique called Ant lion optimizer (ALO) is used to determine the optimal generated VARs capacity and locations of ...the Ant lion optimizer (ALO) offer optimal ...
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Ant Lion Optimization Approach for Load Frequency Control of Multi Area Interconnected Power Systems
... In the event of an interconnected power system, any small sudden load change in any of the areas causes the variation of the frequencies of each and every area and likewise at that place is a fluctuation of power in tie ...
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DWT SVD BASED CONTRAST ENHANCEMENT OF SATELLITE IMAGES WITH OPTIMAL SHAPE TUNING AND THRESHOLDING PARAMETERS USING ANT LION OPTIMIZATION ALGORITHM
... The denoising problem of the satellite image is formulated as an optimization problem of minimizing the non-linear objective function with bound constraints. The original signal ‘x’ is contaminated by the unwanted ...
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Chain Based Routing Algorithm Using Hybrid Optimisation For Wireless Sensor Network
... Abstract: WSNs are spatially distributed, self-regulating sensors to track the physiological objects or observe the ecological information and gather the information to the main controller. WSN contains radio ...
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Enhancement in Brain Image Segmentation using Swarm Ant Lion Algorithm
... swarm optimization (PSOA) algorithm and Ant lion optimization (ALO) or Swarm Ant Lion method implemented to improve the PSNR ...
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Advanced ACO Metaheuristic for Travelling Salesman Problem: A Proposed Technique
... colony optimization is a meta-heuristic in which a colony of artificial ants cooperates in finding good solutions to difficult discrete optimization ...moving ant lays some pheromone (in varying ...
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Ant Based Routing Protocols for Wireless Sensor Networks: An overview
... networks. Ant colony optimization is one of the proposed algorithm in which an improved energy resources are used to minimize the limitations over the basic proposed ...
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Applying Ant Colony Optimization for Inducing Decision Tree from Mixed Type of Relational Multiclass Data
... ABSTRACT: Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. Originally the method to construct decision tree follows greedy approach which results in ...
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Image Enhancement Based on Improved Antlion Optimization Algorithm
... intelligent optimization mechanism and used to improve the image enhancement ...Antlion optimization algorithm (ALO) [1] is a new intelligent method proposed in ...global optimization problem to ...
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An Ant Inspired Bacterial Foraging Methodology Proposed to Solve Open Shop Scheduling Problems
... Foraging Optimization (CBFO) improved the original BFO algorithm to solve the complex optimization ...Foraging Optimization, Particle Swarm Optimization and Genetic Algorithm ...
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Eco Geography-Based Optimization : An Improved Water Wave Optimization Models to Solve NP-Hard
... [4]. Zlochin, Mark; Birattari, Mauro; Meuleau, Nicolas; Dorigo, Marco (1 October 2004). "Model-Based Search for Combinatorial Optimization: A Critical Survey". Annals of Operations Research. 131 (1-4): ...
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Ant Colony Optimization algo
... • Virtual “trail” accumulated on path segments • Starting node selected at random.. • Path selected at random.[r] ...
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Comparative Analysis of Meta-Heuristic Algorithms based on their Application Areas in SRGM
... of optimization problems which can't be solved easily by using the conventional ...Swarm Optimization(PSO) and Ant Colony Optimization(ACO) are being studied and ...
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Survey of Metaheuristic Algorithms for Combinatorial Optimization
... David T. Connolly (1990) proposed an improved simulated annealing for solving quadratic assignment problem. The experiment shows that it is a much improved annealing scheme for this problem, finding better solutions with ...
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Population-based optimization algorithms for solving the travelling salesman problem
... based optimization algorithms focused on solving the ...based optimization algorithms such as Evolutionary Algorithms (EA), Ant Colony Optimization Algorithms (ACO), Particle Swarm ...
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