Hybrid Genetic Algorithm (HGA)
Hybrid genetic algorithm for university examination timetabling problem
... a Hybrid Genetic Algorithm (HGA) for solving uncapacitated ...Pure Genetic Algorithm (PGA) when hybridised with three new local optimisation techniques can im- prove the overall quality ...
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Hybrid Genetic Algorithm and Mixed Crossover Operator for Optimizing TSP
... of genetic algorithm and leads to the problem of genetic drift that occurs mostly in case of multimodal search ...the genetic operators can introduce new genes that can overcome the problem of ...
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Genetic Algorithm and Hybrid Genetic Algorithm for Space Allocation Problems A Review
... Genetic algorithm is an evolutionary approach for solving space layout and optimization ...in genetic algorithm, several modifications are performed on this ...another algorithm then ...
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Hybrid Genetic Algorithm for DNA Sequencing with Errors
... new hybrid genetic algorithm solving the DNA sequencing problem with negative and positive errors is ...The algorithm has as its input a set of oligonucleotides coming from a hybridization ...
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Schedule a job shop by Hybrid Genetic Algorithm
... ABSTRACT This paper displays a hybrid genetic algorithm for the Job Shop Scheduling issue.The chromosome portrayal of the issue depends on random keys. The schedules are developed utilizing a ...
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Hybrid Genetic Algorithm with K Means for Clustering Problems
... • It may produce empty clusters depending on initial centre vectors. • May converge to values that are not optimal. • For large problems global solutions cannot be found with a reasonable amount of computation effort. ...
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Hybrid Genetic Algorithm for Machine Component Cell Formation
... a hybrid genetic algorithm is presented. Normally, in genetic algorithm, the in- itial population is generated by random assignment of genes in each of the ...proposed algorithm ...
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Job Shop Scheduling Using Hybrid Genetic Algorithm
... Figure 1: System Architecture In the proposed system initially input is a Iris Dataset. Job shop scheduling problem is solved by using hybrid genetic algorithm. JSSP is one of the most complicated ...
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A Hybrid Genetic Algorithm Approach for Optimal Power Flow
... 2. Hybrid Genetic Algorithm GA works with a population of solutions instead of a single ...a Hybrid; binary and real coded genetic algorithm is presented ...
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Solving Travelling Salesman Problem with an Improved Hybrid Genetic Algorithm
... improved hybrid genetic algorithm to solve the two-dimensional Euc- lidean traveling salesman problem (TSP), in which the crossover operator is en- hanced with a local ...proposed algorithm is ...
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Solving travelling salesman problem with an improved hybrid genetic algorithm.
... improved hybrid genetic algorithm to solve the two-dimensional Euc- lidean traveling salesman problem (TSP), in which the crossover operator is en- hanced with a local ...proposed algorithm is ...
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Hybrid Genetic Algorithm with Multiparents Crossover for Job Shop Scheduling Problems
... a hybrid genetic algorithm with multiparents crossover for ...This algorithm also embeds a schedule generation procedure to generate full-active schedule that satisfies precedence constraints ...
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A hybrid genetic algorithm approach to mixed-model assembly line balancing
... Gentic algorithm have been proven effective in many combina- torial optimization problems, and it seems natural to apply the approach to a mixed-model assembly line ...a hybrid genetic ...
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The Hybrid Genetic Algorithm for Solving Scheduling Problems in a Flexible Production System
... The hybrid genetic algorithm with the simulated annealing runs in two ...the genetic algorithm randomly generates a set of initial ...the genetic algorithm sends each ...
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An Improved Hybrid Genetic Algorithm with a New Local Search Procedure
... an algorithm is halted when a near-global- optimum cutoff is achieved) match the results under stopping rule 2 (that an algorithm is halted at a preselected number of generations) for both ...
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Hybrid Genetic Algorithm for Maximum Clique Problem
... Maximum clique problem is one of the most important NP-hard problems which find its applications in numerous fields ranging from networking to the determination of the structure of a protein molecule. The present work ...
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Hybrid Genetic Algorithm and Simulated Annealing for Function Optimization
... algorithms, Genetic Algorithm (GA) and Simulated Annealing (SA) are two among most ...of Hybrid GA-SA to solve some non-linear optimization ...that Hybrid GA-SA can enhance GA and SA to ...
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A hybrid genetic algorithm to solve a lot sizing and scheduling problem
... Due to the work-in-progress nature of this paper we would like to continue working on the GA+ATSP approach and do the same experiments in order to identify if the ATSP setup times optimization will improve the ...
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Hybrid Genetic Algorithm for Medical Image Feature Extraction and Selection
... a hybrid medical image retrieval system, a genetic algorithm (GA) approach is presented for the selection of dimensionality reduced set of ...distinct algorithm are used to extract the vital ...
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A Hybrid Genetic Algorithm for the Student-Aware University Course Timetabling Problem
... the algorithm has more free time slots in which to allocate conflicting ...the algorithm does learn, even in the easiest ...the algorithm first produces low fitness chromosomes, thus as it explores ...
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