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[PDF] Top 20 A New Genetic Algorithm based Method for Topological Optimization of Interconnection Networks

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A New Genetic Algorithm based Method for Topological Optimization of Interconnection Networks

A New Genetic Algorithm based Method for Topological Optimization of Interconnection Networks

... In selection only the fittest species can survive, breed and pass their genes to the next generation. The proposed method uses the Roulette Wheel selection algorithm for selecting individuals with a ... See full document

7

Fuzzy neural networks with genetic algorithm-based learning method

Fuzzy neural networks with genetic algorithm-based learning method

... neural networks, fuzzy artificial neural networks, fuzzy information granulation, generic algorithms and fuzzy sets ...neural networks, artificial immune systems, swarm intelligence, ...each ... See full document

50

Genetic algorithm for the cargo shunting cooperation between two hub-and-spoke logistics networks

Genetic algorithm for the cargo shunting cooperation between two hub-and-spoke logistics networks

... Facing the competition, logistics enterprises cooperate to optimize the operation network through paid sharing of logistics resources. More research is needed about the cooperation mode of logistics enterprises, ... See full document

17

A new genetic algorithm based polytechnic college course timetabling

A new genetic algorithm based polytechnic college course timetabling

... the optimization problem and it is computationally ...presented. Genetic algorithm in which selective two point multiple years crossover and mutation cum sequential evaluation (SMCMSE) ... See full document

7

An Approach Towards Wireless Sensor Network Design Optimization Using PSO Aditi Bajpai, Yukti Kesharwani

An Approach Towards Wireless Sensor Network Design Optimization Using PSO Aditi Bajpai, Yukti Kesharwani

... test optimization procedures dedicated for multidimensional, continuous optimization ...“resistant” optimization methods (GA, SA, TS, ...of optimization procedures (those already known and ... See full document

7

FLOWER POLLINATION AND GENETIC ALGORITHM BASED OPTIMIZATION FOR NODE DEPLOYMENT IN WIRELESS SENSOR NETWORKS

FLOWER POLLINATION AND GENETIC ALGORITHM BASED OPTIMIZATION FOR NODE DEPLOYMENT IN WIRELESS SENSOR NETWORKS

... intelligent method for modeling Routing in ...Colony algorithm is presented in this paper for resolving delay-energy trade-off ...define method every food source represents a feasible and possible ... See full document

13

A NOVEL APPROACH TO GENERATE TEST CASES FOR COMPOSITION & SELECTION OF WEB 
SERVICES BASED ON MUTATION TESTING

A NOVEL APPROACH TO GENERATE TEST CASES FOR COMPOSITION & SELECTION OF WEB SERVICES BASED ON MUTATION TESTING

... testing new algorithms in the last decade to solve constrained optimization problems in artificial intelligence field, such as genetic algorithm, tabu search, simulating annealing ... See full document

5

A Comprehensive Survey on Variants in Artificial          Bee Colony (ABC)

A Comprehensive Survey on Variants in Artificial Bee Colony (ABC)

... ABC optimization was proposed for solving numerical ...ABC algorithm for solving constrained optimization problems and applied it to a set of constrained ...ABC algorithm with that of ... See full document

6

Technical economical optimization of horizontal axis wind turbines by means of the genetic algorithm

Technical economical optimization of horizontal axis wind turbines by means of the genetic algorithm

... power based on the effective wind velocity in the area. As a novelty, a new algo- rithm based on fuzzy logic was proposed to de- termine the effective wind velocity by using the history of wind ... See full document

8

Text Document Classification using Ant Colony Optimization and Genetic Algorithm

Text Document Classification using Ant Colony Optimization and Genetic Algorithm

... Colony Optimization (ACO) based method have involved a lot of ...complex optimization problems mainly in discrete optimization ...encouraging algorithm in data classification and ... See full document

8

Topological Design via a Rule Based Genetic Optimization Algorithm

Topological Design via a Rule Based Genetic Optimization Algorithm

... separate genetic optimization formulations are ...rule based extension follows in the next ...67 new- tons in the x, y and z directions were applied at coordinate locations (15, ...robust ... See full document

31

 Structure Learning in Bayesian Networks Using Asexual Reproduction Optimization

 Structure Learning in Bayesian Networks Using Asexual Reproduction Optimization

... A new structure learning approach for Bayesian networks (BNs) based on asexual reproduction optimization (ARO) is proposed in this ...evolutionary based algorithm that ... See full document

11

ENERGY EFFICIENT DISTRIBUTED IMAGE COMPRESSION USING JPEG2000 IN WIRELESS SENSOR 
NETWORKS (WSNS)

ENERGY EFFICIENT DISTRIBUTED IMAGE COMPRESSION USING JPEG2000 IN WIRELESS SENSOR NETWORKS (WSNS)

... a new interconnect test generation scheme based on adaptive genetic algorithm (AGA) and particle swarm optimization algorithm (PSO) for Multi-chip Module (MCM) ...optimized ... See full document

5

The Technique of the Immersed Boundary Method: Application to Solving Shape Optimization Problem

The Technique of the Immersed Boundary Method: Application to Solving Shape Optimization Problem

... Ω with a simple shape (e.g. a box). It is easy to construct a triangularization of such a domain. The triangularization is fixed, i.e ., it does not change during an optimization computation. All computations for ... See full document

13

An emerging intelligent optimization algorithm based on trust sensing model for wireless sensor networks

An emerging intelligent optimization algorithm based on trust sensing model for wireless sensor networks

... In order to resist internal attacks from malicious nodes, this paper proposes an ant colony optimization algo- rithm for secured routing based on trust sensing model in WSNs. Firstly, aiming at the problems ... See full document

10

A Hybrid Genetic Algorithm Approach To Solve Inverse Kinematics Of A Mechanical Manipulator

A Hybrid Genetic Algorithm Approach To Solve Inverse Kinematics Of A Mechanical Manipulator

... an algorithm which uses the Newton- Raphson method and genetic algorithm to solve inverse ...hybrid algorithm to solve this ...hybrid algorithm. The Hybrid algorithm ... See full document

6

Non Traditional Optimization Techniques For Cutting Force Optimization In Milling Process Based On Machining Parameters

Non Traditional Optimization Techniques For Cutting Force Optimization In Milling Process Based On Machining Parameters

... as Genetic Algorithm, Ant Colony Algorithm, Tabu search method and Particle swarm optimization for optimizing machining parameters to maximizing the profit in milling ...the ... See full document

8

Survey Paper on Digital IIR Filter Using Evolutionary Algorithms

Survey Paper on Digital IIR Filter Using Evolutionary Algorithms

... formula based design to intelligent ...the Genetic algorithm and Particle swarm ...evolutionary algorithm required a fitness function which is to be minimized and the authors who uses ... See full document

6

A Review Paper on Fault Diagnosis Schemes for Induction Motors

A Review Paper on Fault Diagnosis Schemes for Induction Motors

... advanced method for the feature selection process but it is less computationally intensive that the genetic algorithm based ...PCA method requires computation of all the features before ... See full document

5

Online Full Text

Online Full Text

... cluster based architecture is followed by the most common ...design optimization of WSNs but many of them fail to address the application specific ...design optimization much more ... See full document

7

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