[PDF] Top 20 A Novel Hybrid Optimization Algorithm Based on Genetic Algorithm and Tabu Search
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A Novel Hybrid Optimization Algorithm Based on Genetic Algorithm and Tabu Search
... Then genetic operators are applied iteratively to chromosomes in order to get better solutions (fitter ...chooses a pair of chromosomes as ...exchange and recombine parts of the genes from parents to ... See full document
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An efficient tabu search algorithm to the cell formation problem with alternative routings and machine reliability considerations
... reliability and alternative process routings in cell formation prob- lem so ...factors and integrating them into one model makes the CF problem complex but more ...Ameli and Arkat (2008) have ... See full document
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A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression
... 3.3.2. Genetic operators The real-valued genetic algorithm uses selection, crossover, and mutation operators to generate the offspring of the existing popu- ...method and tournament ... See full document
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Tabu search based multi-watermarks embedding algorithm with multiple description coding
... 1 and p 2 , should be considered as the ‘‘packet-loss’’ ...meaning and usage of p 1 and p 2 are consistent with other MDC research papers ...provides a simple example of MDSQ to help visualize ... See full document
9
A Novel Prediction Method for Tag SNP Selection using Genetic Algorithm based on KNN
... hybrid algorithms, such as HAPLO-IHP [4] and ISHAPE [5], have been developed which are capable of improving the performance of haplotyping. Many algorithms have been developed to select the most informative ... See full document
3
A Genetic Algorithm Assisted Hybrid Web Information Integration
... Heterogeneity and interoperability of Web data sources represent the current key issue in Web information extraction and ...approach and virtual approach are the common approaches adopted to ... See full document
16
Hybrid Taguchi-based genetic algorithm for flowshop scheduling problem
... Abstract. A hybrid Taguchi-based genetic algorithm (HTGA) is developed for solving multi-objective flowshop scheduling problems ...(FSPs). Search performance is improved by using ... See full document
9
MEDock: a Web Server for Efficient Prediction of Ligand Binding Sites Based on a Novel Optimization Algorithm
... value on the ...number, and the local search frequency, were tuned to improve its convergence rate, and then exactly the same set of optimized run parameters were used in ... See full document
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A Novel Crowding Genetic Algorithm and Its Applications to Manufacturing Robots
... A Novel Crowding Genetic Algorithm and Its Applications to Manufacturing Robots Chiu-Hung Chen, Tung-Kuan Liu, and Jyh-Horng Chou, Senior Member, IEEE Abstract—A niche ... See full document
6
A hybrid genetic algorithm approach on multi-objective of assembly planning problem
... robust and effective in various task domains (Mak et al., 1998; Onwubolu and Mutingi, ...presents a hybrid GA approach combined with a self-tuning method to solve the problem of ... See full document
11
Mesh Optimization for Surface Approximation Using An Efficient Genetic Algorithm With A Novel 2-D Orthogonal Crossover
... parts and the meshes of the children are formed from the best combinations of the better parts from the parents rather than the conventional random ...of a systematic reasoning approach for evaluating the ... See full document
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A Tabu Search Algorithm for the Vehicle Routing Problem 陳勝男、林燦煌
... L., and B. Golden, "Classification in vehicle routing and scheduling", Networks, 11, 97-108, 1981 ...Golden, A. Assad, and M. Ball, "Routing and scheduling of vehicles and crews: ... See full document
2
A Hybrid of Cooperative Particle Swarm Optimization and Cultural Algorithm for Neural Fuzzy Networks and Its Prediction Applications
... is based on a CPSO all of whose parameters are simultaneously tuned using the brief space of the culture algorithm ...by search- ing around the local best solution and the global ... See full document
14
Confronting two-pair primer design for enzymefree SNP genotyping based on a genetic algorithm
... constitutes a randomized search and an optimization technique that derives its working principle from natural ...[20] and general primer design ...crossover and mutation, are ... See full document
5
On-line genetic algorithm-based fuzzy-neural sliding mode controller using improved adaptive bound reduced-form genetic algorithm
... article, a novel on-line genetic algorithm-based fuzzy-neural sliding mode controller trained by an improved adaptive bound reduced-form genetic algorithm is ... See full document
16
A tabu search based maximum descent algorithm for VQ codebook design
... of tabu search is to explore the search space of all feasible solutions by means of a series of moves and to forbid some search directions at the present itera- tion in order to ... See full document
10
A tabu search algorithm for satellite imaging scheduling
... Abstract - This paper deals with the daily imaging scheduling problem f o r a low-orbit, earth observation satellite, which belongs f a a class of single-machine[r] ... See full document
6
A Novel Mobile Agent Search Algorithm
... the search list. This is based on the assumption that the servers will be vis- ited in ...sequence. On the other hand, if the target agent has not arrived at S t , then all the servers ... See full document
4
The lightweight genetic search algorithm: an efficient genetic algorithm for small search range problems
... Unless an elitist selection is applied in the reproduction stage t o maintain the evolution infor- mation, the genetic search will degrade to the random search if the m[r] ... See full document
6
A genetic algorithm for database query optimization
... The key to the success of a database management system (DBMS), especially of one based on the relational model [3], is the effectiveness of the query optimization m[r] ... See full document
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