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Classic genetic algorithm
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Part 1 of ebook "Search methodologies: Introductory tutorials in optimization and decision support techniques" provides readers with contents including: classical techniques; integer programming; genetic algorithms; scatter search; genetic programming; artificial immune systems; swarm intelligence; tabu search; simulated annealing; GRASP: greedy randomized adaptive search procedures; variable neighborhood search;...
344p
thamnhuocgiai
24-09-2023
6
4
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RNA secondary structure prediction, or folding, is a classic problem in bioinformatics: Given a sequence of nucleotides, the aim is to predict the base pairs formed in its three dimensional conformation. The inverse problem of designing a sequence folding into a particular target structure has only more recently received notable interest.
12p
viwyoming2711
16-12-2020
15
0
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De novo prediction of Transcription Factor Binding Sites (TFBS) using computational methods is a difficult task and it is an important problem in Bioinformatics. The correct recognition of TFBS plays an important role in understanding the mechanisms of gene regulation and helps to develop new drugs.
13p
viconnecticut2711
29-10-2020
13
1
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In this paper a nonlinear quarter car suspension–seat–driver model was implemented for optimum design. A nonlinear quarter car model comprising of quadratic tyre stiffness and cubic stiffness in suspension spring, frame, and seat cushion with 4 degrees of freedom (DoF) driver model was presented for optimization and analysis.
17p
kequaidan1
16-11-2019
15
0
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This paper introduces a control structure based on the classical PID controller in order to monitor the IGBT switching frequency while still guaranteeing the qualities of SAPF. There are two controlled loops needed for the system.
10p
visumika2711
17-07-2019
14
0
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This can be done by using classic algorithms whose results have been studied and compared with our proposed algorithm, genetic algorithm. Selecting an appropriate and efficient algorithm for resources scheduling is required due to dynamic feature of resources and various requests of users in cloud technology to increase efficiency.
6p
byphasse043256
22-03-2019
28
2
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This paper presents an application of a two level mixed optimization method on a machine scheduling problem of a government owned machine shop. Where evolutionary algorithm methods are suitable for solving complex, discrete space, and non-linear, discontinuous optimization problems; classical direct-search optimization methods are suitable and efficient in handling simple unimodal problems requiring less computation.
16p
vinguyentuongdanh
19-12-2018
29
0
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The Fuzzy Set Theory developed by L. Zadeh (Zadeh 1965) as a possible way to handle uncertainty is particularly useful for the representation of vague expert knowledge and processing uncertain or imprecise information. The Fuzzy Set Theory is based on an extension of the classical meaning of the term "set" and formulates specific logical and arithmetical operations for processing information defined in the form of fuzzy sets and fuzzy rules.
0p
phoebe75
01-02-2013
55
6
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Recent Developments of Electrical Drives - Part 45.
10p
pretty10
25-09-2010
66
5
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Recent Developments of Electrical Drives - Part 44.
10p
pretty10
25-09-2010
53
4
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Recent Developments of Electrical Drives - Part 43.
10p
pretty10
25-09-2010
45
4
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Recent Developments of Electrical Drives - Part 42.
10p
pretty10
25-09-2010
70
7
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Recent Developments of Electrical Drives - Part 41.
10p
pretty10
25-09-2010
57
4
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Recent Developments of Electrical Drives - Part 40.
10p
pretty10
25-09-2010
63
5
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Recent Developments of Electrical Drives - Part 39.
10p
pretty10
25-09-2010
59
4
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Recent Developments of Electrical Drives - Part 38.
10p
pretty10
25-09-2010
69
5
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Recent Developments of Electrical Drives - Part 37.
10p
pretty10
25-09-2010
56
4
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Recent Developments of Electrical Drives - Part 36.
10p
pretty10
25-09-2010
50
4
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Recent Developments of Electrical Drives - Part 35.
10p
pretty10
25-09-2010
65
6
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Recent Developments of Electrical Drives - Part 34.
10p
pretty10
25-09-2010
53
5
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