[PDF] Top 20 A novel system optimal design approach using artificial fish swarm algorithm
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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 ... See full document
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Optimal Node Placement of Industrial Wireless Sensor Networks Based on Adaptive Mutation Probability Binary Particle Swarm Optimization Algorithm
... evolutionary algorithm, Genetic Algorithms (GAs) have been successfully used to design the node placement of ...to design WSNs to fulfill the existent connectivity constraints and incorporate ... See full document
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A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS
... Artificial fish-swarm algorithm is a new kind of cluster intelligent optimization ...for system optimization and has been applied in route selection in computer networks and ... See full document
6
Genetic-Moth Swarm Algorithm for Optimal Placement and Capacity of Renewable DG Sources in Distribution Systems
... DS. Artificial bee colony (ABC) [10], Genetic Algorithm (GA) [11], cuckoo search algorithm (CSA) [12], mixed integer nonlinear programming (MINLP) [13], Differential Evolution (DE) [14], flower ... See full document
13
Using Multi objective Artificial Fish Swarm Algorithm to Solve the Software Project Scheduling Problem
... new design of credit assignment method for mutation and crossover and sliding multi-armed bandit strategy for choosing crossover and ...drop algorithm (like inclusion of construction phase) to solve SPSP ... See full document
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Job Scheduling in Grid Computing with Fast Artificial Fish Swarm Algorithm
... a novel method by introducing the modified AFSA for job scheduling in gird ...is novel method to search global optimal value by AF`s prey behavior, swarming behavior and following ...levy ... See full document
5
Research Progress of Intelligent Optimization Algorithm in Big Data Background
... The artificial fish swarm optimization algorithm is an intelligent optimization algorithm proposed by ...global optimal solution in the group through the partial optimization of ... See full document
7
Optimization of a Multiproduct CONWIP-based Manufacturing System using Artificial Bee Colony Approach
... production system models, typically a simplified model is instead used to find the optimal WIP level and job sequencing in a CONWIP ...the optimal WIP level and job sequencing due to this ...the ... See full document
5
Application of Particle Swarm Optimization in Data Clustering: A Survey
... PSO algorithm to automatically determines the ‘‘optimum’’ number of clusters and simultaneously clusters the data ...a novel model for the intrusion detection system, based on hybridization ... See full document
9
EXPERIMENTAL DESIGN OF CAPACITANCE REQUIRED FOR SELF EXCITED INDUCTION GENERATOR
... particle swarm optimization inertia weight adjustment strategy was employed to dynamically adjust the artificial fish's vision and step on the basic algorithm, and then it was applied to ... See full document
5
Scheduling Problem of Shared Car Based on Fish Swarm Algorithm
... sharing system tends to provide one-way mode without reservation and allow remote ...sharing system is characterized by the opening of vehicle mobility, allowing vehicles to return at other ...intelligent ... See full document
5
An improved artificial fish swarm algorithm for optimal operation of cascade reservoirs
... dynamic system with a large number of constraints, has been drawn much attention to many ...search algorithm [6], simulated annealing algorithm [7], genetic algorithm [8], ant colony ... See full document
7
A Novel Particle Swarm Optimization for Optimal Scheduling of Hydrothermal System
... particle swarm optimization (FAPSO) is presented to determine the optimal operation of hydrothermal power ...particle swarm optimization (PSO), the fuzzy adaptive criterion is applied for inertia ... See full document
7
Medical DR image enhancement based on AFSA
... DR system, because of noise disturbance, excessively high or low exposure rate, great thickness of human tissue we take and other reasons, there are some unavoidable problems, such as fuzzy image, low resolution ... See full document
8
SIMULATION OF MPC BASED SPEED CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE
... management using hybrid fish bee optimization. The basic idea of Fish Bee Swarm Optimization is to imitate the fish behaviors with local search of fish individual for reaching ... See full document
8
On Chebyshev Array Design Using Particle Swarm Optimization
... evolutionary algorithm of particle swarm optimization (PSO) is applied to synthesis an optimal linear array in the Chebychev ...handled using an efficient, a robust and a nongradient based ... See full document
7
A Novel Approach on Image Processing based on Complex Network Analysis Using Graphic Search Algorithm
... this system is implemented in graphic search algorithm in the complex network with the unweighted graph and undirected links has been analyzed and ...segments using image segmentation ...detected ... See full document
9
An Approach Towards Wireless Sensor Network Design Optimization Using PSO Aditi Bajpai, Yukti Kesharwani
... Prerana Shrivastava et. al. IJETAE 2014 roposed strategy the sensors position is first estimated by the estimated step forward metric and then the particle swarm optimization algorithm is used to minimize ... See full document
7
Improved particle swarm optimization and gravitational search algorithm for parameter estimation in aspartate pathways
... To design and develop Improved Particle Swarm Optimization and Gravitational Search Algorithm (IPSOGSA) in obtaining the near-optimal kinetic parameter values by minimize the fitting error of ... See full document
35
A Methodology for the Design of Microwave Systems and Circuits Using an Evolutionary Algorithm
... the design of microwave devices and circuits has been ...the system requirements expressed in term of scattering parameters of the N ports of the system, estimates the requirements of each subsystem ... See full document
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