Optimization of Multiple Traveling Salesman Problem Based on Simulated Annealing Genetic Algorithm
It is very effective to solve the multi variable optimization problem by using hierarchical genetic algorithm. This thesis analyzes both advantages and disadvantages of hierarchical genetic algorithm and puts forward an improved simulated annealing ...
Xu Mingji, Li Sheng, Guo Jian
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A Novel RPL Algorithm Based on Chaotic Genetic Algorithm
RPL (routing protocol for low-power and lossy networks) is an important candidate routing algorithm for low-power and lossy network (LLN) scenarios. To solve the problems of using a single routing metric or no clearly weighting distribution theory of ...
Yanan Cao, Muqing Wu
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Nonuniform antenna array design by parallelizing three-parent crossover genetic algorithm
Antenna plays a very important role in wireless communication. Array elements laid out nonuniformly could achieve better frequency reliability and lower sidelobe level than uniform spaced elements.
Xin Zhang, Qinglian Zhang, Xiu Zhang
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A NEW MULTI-FREQUENCY VIBRATIONAL GENETIC ALGORITHM IN RADAR CROSS SECTION MINIMIZATION PROBLEMS
Within this study, it is aimed to provide an efficient stochastic algorithm for different optimization problems. For this purpose, as a search method, multi frequency vibrational genetic algorithm [m-VGA] is improved and used to accelerate the genetic ...
Y. Volkan Pehlivanoğlu
doaj
Analysis of usage of genetic and tabu search algorithms in shop scheduling
A wide area of scheduling problem is industrial so-called shop scheduling (Job Shop, Flow Shop and Open Shop) which has important applications in real world industrial problems.
Edgaras Šakurovas +1 more
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Optimization method of truss structure size and shape based on harmonic search genetic algorithm
In order to improve the traditional design concept and the lack of optimization of genetic algorithm, and promote the development and innovation of the shape optimization of truss structure, according to the basic principles of harmony search algorithm ...
XIE Jun +4 more
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An Improved NSGA-III Algorithm Using Genetic K-Means Clustering Algorithm
The non-dominated sorting genetic algorithm III (NSGA-III) has recently been proposed to solve many-objective optimization problems (MaOPs). While this algorithm achieves good diversity, its convergence is unsatisfactory.
Qingguo Liu +3 more
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An Improved Chaos Genetic Algorithm for T-Shaped MIMO Radar Antenna Array Optimization
In view of the fact that the traditional genetic algorithm easily falls into local optimum in the late iterations, an improved chaos genetic algorithm employed chaos theory and genetic algorithm is presented to optimize the low side-lobe for T-shaped ...
Xin Fu +4 more
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STUDI PERBANDINGAN ANTARA ALGORITMA BIVARIATE MARGINAL DISTRIBUTION DENGAN ALGORITMA GENETIKA
Bivariate Marginal Distribution Algorithm is extended from Estimation of Distribution Algorithm. This heuristic algorithm proposes the new approach for recombination of generate new individual that without crossover and mutation process such as genetic ...
Chastine Fatichah +2 more
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A Genetic Algorithm Approach for Expedited Crossing of Emergency Vehicles in Connected and Autonomous Intersection Traffic [PDF]
Qiang Lu, Kyoung-Dae Kim
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