Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …
techniques into meta-heuristics for solving combinatorial optimization problems. This …
Choosing mutation and crossover ratios for genetic algorithms—a review with a new dynamic approach
Genetic algorithm (GA) is an artificial intelligence search method that uses the process of
evolution and natural selection theory and is under the umbrella of evolutionary computing …
evolution and natural selection theory and is under the umbrella of evolutionary computing …
Genetic algorithms: Theory, genetic operators, solutions, and applications
B Alhijawi, A Awajan - Evolutionary Intelligence, 2024 - Springer
A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and
biological processes of reproduction of the fittest individual. GA is one of the most popular …
biological processes of reproduction of the fittest individual. GA is one of the most popular …
[HTML][HTML] A hybrid genetic algorithm and tabu search for minimizing makespan in flow shop scheduling problem
MS Umam, M Mustafid, S Suryono - … of King Saud University-Computer and …, 2022 - Elsevier
This paper combines the tabu search process with a genetic algorithm by employing a new
partial opposed-based as the population initialization technique to minimize makespan …
partial opposed-based as the population initialization technique to minimize makespan …
Tourism service scheduling in smart city based on hybrid genetic algorithm simulated annealing algorithm
P Suanpang, P Jamjuntr, K Jermsittiparsert… - Sustainability, 2022 - mdpi.com
The disruptions in this era have caused a leap forward in information technology being
applied in organizations to create a competitive advantage. In particular, we see this in …
applied in organizations to create a competitive advantage. In particular, we see this in …
Optimisation of cyber insurance coverage with selection of cost effective security controls.
Nowadays, cyber threats are considered among the most dangerous risks by top
management of enterprises. One way to deal with these risks is to insure them, but cyber …
management of enterprises. One way to deal with these risks is to insure them, but cyber …
指针网络改进遗传算法求解旅行商问题.
陈思远， 林丕源， 黄沛杰 - Journal of Computer Engineering …, 2020 - search.ebscohost.com
针对遗传算法在求解旅行商问题时, 受限于初始种群质量而存在收敛速度慢,
易陷入局部最优等问题, 提出一种基于指针网络改进遗传算法种群模型. 通过经改进指针网络 …
易陷入局部最优等问题, 提出一种基于指针网络改进遗传算法种群模型. 通过经改进指针网络 …
[HTML][HTML] Feature selection method based on quantum inspired genetic algorithm for Arabic signature verification
The signature is a behavioral-based human characteristics that is extensively used as legal
evidence of identification on bank checks, credit cards, and wills. Developing a good offline …
evidence of identification on bank checks, credit cards, and wills. Developing a good offline …
Topographical design of stiffener layout for plates against blast loading using a modified ant colony optimization algorithm
The stiffened plates are of demonstrable advantages and potential in offering high
resistance to such extreme loading scenarios as blast. Since the distribution of the stiffeners …
resistance to such extreme loading scenarios as blast. Since the distribution of the stiffeners …
BIM-based framework for formwork planning considering potential reuse
Concrete formwork is frequently required with the increasing demands of building and
infrastructure construction and has a significant impact on the costs of concrete works …
infrastructure construction and has a significant impact on the costs of concrete works …