artificial fish swarm algorithm
An Integer Artificial Fish Swarm Algorithm and Its Application on Ambiguity Resolution
... Artificial fish-swarm algorithm (AFSA) is a modern heuristic optimization algorithm ...the algorithm is simulated by constructing artificial fish preying, swarming ...
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Using Multi objective Artificial Fish Swarm Algorithm to Solve the Software Project Scheduling Problem
... genetic algorithm (GA), differential evolution (DE) and swarm algorithms like ant colony optimization (ACO), partial swarm optimization (PSO) and artificial fish swarm ...
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Job Scheduling in Grid Computing with Fast Artificial Fish Swarm Algorithm
... Clustering Algorithm and Artificial Fish Swarm Algorithm," Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on , ...
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A novel system optimal design approach using artificial fish swarm algorithm
... the artificial fish swarm algorithm, fish schools in the natural world are observed for a long time to structure artificial fishes to imitate forag- ing, swarming, rear-end and ...
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A complexity-performance-balanced multiuser detector based on artificial fish swarm algorithm for DS-UWB systems in the AWGN and multipath environments
... the swarm intelligence is one of the latest methods in the field of signal processing [23] (especially for combinatorial optimization problems [24]), several swarm-intelligence-based MUD algorithms have ...
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An improved artificial fish swarm algorithm for optimal operation of cascade reservoirs
... this algorithm has several disadvantages such as the blindness of searching at the later stage and the poor ability to keep the balance of exploration and exploitation, which reduce its probability of searching ...
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A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS
... Therefore, the model featured in this part can be concluded as follows: all the N sensor nodes are given and their coordinates will be determined randomly to set up a working set of nodes which is named C1. A working ...
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Scheduling Problem of Shared Car Based on Fish Swarm Algorithm
... intelligent algorithm is used to optimize the scheduling of vehicles with different ...an artificial fish swarm algorithm is used to analyze the case in ...
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EXPERIMENTAL DESIGN OF CAPACITANCE REQUIRED FOR SELF EXCITED INDUCTION GENERATOR
... of Artificial Fish-Swarm Algorithm, an adaptive particle swarm optimization was ...new algorithm employs the inertia weight adjustment strategy to dynamically adjust the idea of ...
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Medical DR image enhancement based on AFSA
... (Artificial Fish Swarm Algorithm)[1]is a swarm intelligent optimization algorithm based on animal ...use swarm intelligent bionic algorithm, to achieve enhanced ...
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Artificial Searching Swarm Algorithm and Its Performance Analysis
... Optimization Algorithm (BIOA) is ...Genetic Algorithm (GA) [1], Ant Colony Algorithm (ACA) [2], Particle Swarm Optimi- zation (PSO) [3], Artificial Fish-Swarm ...
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Forecasting Optimised Tool wear, Surface Roughness, Material Removal Rate and Hole Diameter Error on OHNS in Drilling process through Scatter Search Integrated Micro GA Algorithm
... Modified Fish Swarm algorithm Swarm: - ...Modified Artificial Fish Swarm Algorithm (MFSA) which has many benefits that includes higher convergence rate, ...
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A New Algorithm Based on the Improved Artificial Fish Swarm for Learning Thresholds in TDRS Model
... the artificial fish swarm method, the process of optimization is carried out by dynamically adjusting the step and ...the fish behavior are improved on the basis of the optimization problem of ...
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Research Progress of Intelligent Optimization Algorithm in Big Data Background
... genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), Artificial Fish School Algorithm, Bacteria Foraging Optimization Algorithm (BFOA), ...
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SIMULATION OF MPC BASED SPEED CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE
... Hybrid Fish Bee Swarm Optimization based algorithm to manage congestion is proposed to achieve this ...The Fish Bee Swarm Optimization is based on two algorithms namely ...
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Comparison of Evolutionary Optimization Techniques for Unconstrained
... etc., swarm intelligence-based techniques ...popular swarm intelligence-based algorithm is the particle swarm optimization algorithm which was developed by Eberhart and Kennedy in ...or ...
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HAND WRITING RECOGNITION USING HYBRID PARTICLE SWARM OPTIMIZATION & BACK PROPAGATION ALGORITHM
... In this method we train Back Propagation neural network using particle Swarm optimization algorithm. Back- propagation can be applied to real image recognition problems without a complex pre-processing ...
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Multi indicators Brain Storm Optimization Algorithm for Multi objective Optimization Problems
... Divergent operation: It is used to generate new individuals with a better diversity. Before generating a new individual, an individual need to be selected randomly as a parent idea. There are four strategies to choose ...
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Applications of Particle Swarm Optimization
... An Artificial Neural Network, often just called a neural network, is a mathematical model inspired by biological neural ...of artificial neurons, and it processes information using a connectionist approach ...
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ARTIFICIAL INTELLIGENCE AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR OPTIMIZATION PROBLEM IN MICROGRIDS
... the swarm so ...the swarm through a stochastic velocity term and the ability of understanding, the search process produces high-performance operation to find the global optimum ...PSO algorithm has ...
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