Two sided disassembly line balancing problem with rest time of works: A constraint programming model and an improved NSGA II algorithm

ZY Xu, Y Han - Expert Systems with Applications, 2024 - Elsevier
In the process of disassembly, it is difficult for workers who have been in working condition
for a long time to ensure the high-quality completion of the tasks they undertake, which will …

A hybridization of grey wolf optimizer and genetic algorithm for the traveling salesman problems

SH Rahaman, MK Maiti - Soft Computing, 2024 - Springer
In this study, grey wolf optimizer (GWO), genetic algorithm (GA), and K-Opt operation are
combined to develop a metaheuristic named GWO-GA for the traveling salesman problems …

Multi-threshold image segmentation algorithm based on Aquila optimization

H Guo, J Wang, Y Liu - The Visual Computer, 2024 - Springer
Aquila Optimization (AO) is a recently proposed meta-heuristic algorithm, which has been
proved to be more competitive than other meta-heuristic algorithms in function optimization …

A New Approach Based on Collective Intelligence to Solve Traveling Salesman Problems

MS Kiran, M Beskirli - Biomimetics, 2024 - mdpi.com
This paper presents a novel approach based on the ant system algorithm for solving discrete
optimization problems. The proposed method is based on path construction, path …

Trip route optimization based on bus transit using genetic algorithm with different crossover techniques: a case study in Konya/Türkiye

A Bolotbekova, H Hakli, A Beskirli - Scientific Reports, 2025 - nature.com
With the importance of time and cost in today's world, it is essential to solve problems in the
best way possible. Optimization is a process used to achieve this goal and is applied in …

Reinforced covariance weighted mean of vectors optimizer: insight, diversity, deep analysis and feature selection

B Xu, AA Heidari, H Chen - Applied Intelligence, 2024 - Springer
Abstract The WeIghted meaN oF vectOrs (INFO) algorithm is widely used as an efficient
optimization tool due to its simple structure and superior performance. However, achieving a …

Multi-ant colony algorithm based on cooperative game and dynamic path tracking

L Wu, X You, S Liu - Computer Networks, 2023 - Elsevier
For the problems of slow convergence and low stability in traditional ant colony algorithm
when solving large-scale Traveling Salesman Problem (TSP), a multi-ant colony algorithm …

Heterogeneous ant colony algorithm based on selective evolution mechanism and game strategy

L Wu, X You, S Liu - The Journal of Supercomputing, 2024 - Springer
In order to solve the problems of slow convergence and low accuracy of the traditional ant
colony algorithm in solving the traveling salesman problem (TSP), this paper proposes a …

[PDF][PDF] A New Method for Travelling Salesman Problem Relied on Growth Optimization.

QT Nguyen - International Journal of Intelligent Engineering & …, 2024 - inass.org
This paper shows a novel method relied on growth optimization (GO) algorithm for searching
the shortest tour length of the travelling salesman problem (TSP). GO is a recent algorithm …

An enhanced flux balance analysis based on the state-of-the-art metaheuristics for optimizing succinate production

R Ananda, KM Daud, S Zainudin - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Flux balance analysis (FBA) is a popular algorithm in in silico metabolic engineering. This
algorithm finds the optimal flux reaction under a particular perturbation, such as reaction …