Genetic Algorithm (G.A.)
Genetic Algorithm and Hybrid Genetic Algorithm for Space Allocation Problems A Review
... Genetic algorithm is an appropriate technique for finding the best solution of space layout ...[8] genetic algorithm is used to solve the container storage space allocation ...land. ...
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Performance comparison of several kinds of improved genetic algorithm
... High-level genetic algorithm is similar to the standard genetic algorithm in ...lower genetic algorithm after the algorithm runs to a certain ...low-level genetic ...
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Wireless sensor network node optimal coverage based on improved genetic algorithm and binary ant colony algorithm
... improved genetic algorithm and binary ant colony algorithm is proposed in this ...The genetic algorithm and ant colony algorithm are improved and fused aiming at their ...
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A Genetic Algorithm with Weighted Average Normally Distributed Arithmetic Crossover and Twinkling
... a genetic algorithminto a modified form of the Powell method ...a genetic algorithm was used as an input to a Quasi-Newton algorithm [10] wherethe difference between Darwin-inspired and La- ...
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Floor Layout Optimization Using Genetic Algorithm
... simultaneous genetic optimization for a number of possibly competing ...problems. Genetic larger class of evolutionary algorithms (EA), generates solution to optimization problems using techniques inspired ...
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A Data Placement Strategy Based on Genetic Algorithm in Cloud Computing
... Carlo algorithm is based on probability theory and statistics ...Carlo algorithm, we randomly generate a certain number of B matrices as a sample, then calculate data scheduling between data centers on each ...
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Artificial Intelligence Fraud Detection Using Genetic Algorithm
... Mining, Genetic Programming ...this algorithm. This algorithm is an optimization technique and evolutionary search based on the principles of genetic and natural selection, heuristic used to ...
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Solving Vehicle Routing Problem with Proposed Non Dominated Sorting Genetic Algorithm and Comparison with Classical Evolutionary Algorithms
... Sorting Genetic Algorithm (NSGA) has established itself as a benchmark algorithm for Multi objective ...basic algorithm for big problem gives less efficient results, which renders it less ...
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IOS Based Aquascape Component Selection Application Uses a Genetic Algorithm
... Applications to be created have a purpose to facilitate the people who want to make aquascape in terms of aquascape component selection based on the cost. This application will be created on IOS based mobile devices. In ...
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Multi-objective optimization of PID controller parameters using genetic algorithm
... Chapter 5 analyzes the GCGA through several popular test problems and compares its performances with the well known Non-dominated Sorting Genetic Algorithm II (NSGA-II). This chapter also shows the ...
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The Hybrid Genetic Algorithm for Solving Scheduling Problems in a Flexible Production System
... the genetic algorithm randomly generates a set of initial ...the genetic algorithm sends each solution to the simulated annealing to be ...the genetic algorithm solutions for the ...
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The Use of a Genetic Algorithm for Simultaneous Mapping of Multiple Interacting Quantitative Trait Loci
... a genetic algorithm to search for QTL in the genome instead of an exhaustive enumerative (“step-by-step”) ...using genetic algorithm-based mapping instead of an exhaustive enumerative search ...
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G-AODV: A Novel Approach to Improve AODV by Using Genetic Algorithm in VANET
... Dijkstra’s Algorithm, Bellman ford Algorithm are developed to discover the shortest ...i.e. Genetic Algorithm (GA) and Evolution Algorithm (EA) can be implemented ...effectively. ...
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A genetic algorithm for preemptive scheduling of a single machine Pages 607-614 Download PDF
... This paper presents a mathematical model for scheduling of a single machine when there are preemptions in jobs. The primary objective of the study is to minimize different objectives such as earliness, tardiness and work ...
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A Study on Network-On-Chip architecture using Genetic Algorithm
... Abstract— Genetic algorithm (GA) is a design technique that synthesizes an application specific Network-on-chip (NoC) topology and routes the communication traces on the interconnection ...paper ...
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Genetic-Moth Swarm Algorithm for Optimal Placement and Capacity of Renewable DG Sources in Distribution Systems
... the Genetic Algorithm (GA) and Moth Swarm Algorithm (MSA), namely Genetic Moth Swarm Algorithm (GMSA), for determining the optimal location and sizing of renewable distributed ...
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An Efficient Path Planning Algorithm for Networked Robots using Modified Optimization Algorithm
... Logic, Genetic Algorithm and additional Artificial Intelligence ...MPSO algorithm comprises of adaptive random fluctuations (ARFs) and is for the most part created to control the frequently oversaw ...
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Decentralized Two-Level 0-1 Programming through Distributed Genetic Algorithms
... a genetic algorithm (GA) proposed by us, a distributed genetic algorithm is introduced with respect to the upper level GA, which handles deci- sion variables for the ...
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Solving Asymmetric Travelling Salesman Problem using Memetic Algorithm
... optimization, Genetic algorithm and Memetic algorithm, from which genetic algorithm has been proved to be found near to optimal solution, so to improve the performance of genetic ...
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Download Download PDF
... to Genetic algorithm (GA), PSO is a population-based optimization tool, has fitness values to evaluate the popu- lation, and update the population for the optimum with random ...this algorithm, the ...
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