New heuristic algorithm
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This paper aims to apply the developed ADE to optimize truss structures subjected to frequency constraints. In addition, limitations of the AOA are also discussed, as well as how to overcome them. In each iteration, a randomly generated probability parameter is used to determine whether AOA or DE that would be used to generate new candidate solutions in the population.
16p 
vifaye
20-09-2024
2
1
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Goals of the dissertation: This thesis focuses on studying and developing meta-heuristic optimization methods and combines them with the Artificial Neural Network, which has advantages in approximating data, to build up a new algorithm for solving composite material structural optimization problems.
136p monsterhunterer
20-06-2021
8
2
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In this paper we present a new heuristic algorithm to minimize the total completion time (Makespan) in permutation flow shop scheduling of ‘n’ jobs and ‘m’ machines by using harmonic triangle.
6p lucastanguyen
01-06-2020
14
1
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The thesis aims to propose the Heuristic method algorithm applied to the problem of power grid restructuring with the objective of reducing power loss in case of having / without distributed power source connecting to the distribution grid. Study the effect of distributed power source when connecting to the distribution grid, affecting the power grid restructuring problem.
27p xacxuoc4321
11-07-2019
24
2
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. Attribute reduction is one of the most important issues in rough set theory. There have been many scientific papers that suppose algorithms on attribute reduction. However, these algorithms are all heuristic which find the best attribute reduction based on a kind of heuristic information. In this paper, we present a new algorithm for finding all attribute reductions of a decision and we show that the time complexity of the algorithm is exponential in the number of attributes. We also show that this complexity is polynomial in many special cases.
7p binhminhmuatrenngondoithonggio
09-06-2017
60
2
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