Genetic algorithms and their applications
The first part of this chapter describes the foundation of genetic algorithms. It includes hybrid
genetic algorithms, adaptive genetic algorithms, and fuzzy logic controllers. After a short …
genetic algorithms, adaptive genetic algorithms, and fuzzy logic controllers. After a short …
An Efficient Task Allocation with Fuzzy Reptile Search Algorithm for Disaster Management in urban and rural area
R Chaudhry, V Rishiwal - Sustainable Computing: Informatics and Systems, 2023 - Elsevier
This paper proposes an architecture for rescue operations in fire disasters by modeling the
behavior of generated tasks scheduling to the fog or cloud devices. The problem is …
behavior of generated tasks scheduling to the fog or cloud devices. The problem is …
The impacts of middle managers' ambidexterity, continuous improvement, and organizational agility on business performance: A knowledge-based view
F Alamsjah, M Asrol - Journal of Industrial Engineering and Management, 2023 - jiem.org
Purpose: Using the knowledge-based view as the theoretical lens, this study aims to assess
the effect of middle managers' ambidexterity, continuous improvement and organizational …
the effect of middle managers' ambidexterity, continuous improvement and organizational …
Quantum-inspired African vultures optimization algorithm with elite mutation strategy for production scheduling problems
B Liu, Y Zhou, Q Luo, H Huang - Journal of Computational …, 2023 - academic.oup.com
The production scheduling (PS) problem is a challenging task that involves assigning
manufacturing resources to jobs while ensuring that all constraints are satisfied. The key …
manufacturing resources to jobs while ensuring that all constraints are satisfied. The key …
Deep reinforcement learning for large-scale flexible Job-shop dynamic scheduling problem
Y Zhou, T Zheng, M Hu, J Zhang… - 2023 IEEE Smart World …, 2023 - ieeexplore.ieee.org
Aiming at the dynamic scheduling problem of a large-scale flexible job shop, a dynamic
scheduling model of large-scale flexible job shop based on Double Deep Q-Network …
scheduling model of large-scale flexible job shop based on Double Deep Q-Network …
Mushroom Picking Framework with Cache Memories for Solving Job Shop Scheduling Problem
P Jędrzejowicz, I Wierzbowska - Annals of Computer Science and …, 2023 - annals-csis.org
Applying population-based metaheuristics is a known method of solving difficult optimization
problems. In this paper the search for the best solution is conducted by decentralized, self …
problems. In this paper the search for the best solution is conducted by decentralized, self …
[PDF][PDF] l'École Nationale Supérieure d'Arts et Métiers
M VAKILINEJAD - pastel.hal.science
In this thesis, efforts were dedicated firstly to observe the contribution of different error
sources in robotic involved manufacturing. The main contributors to the robot inaccuracy …
sources in robotic involved manufacturing. The main contributors to the robot inaccuracy …