Search Results - subject:"Genetic algorithm"

Two dimensional guillotine cutting stock and scheduling problem in printing industry

Mostajabdaveh, Mahdi; Salman, F. Sibel; Tahmasbi, Nadia - In: Computers & operations research : and their … 148 (2022), pp. 1-26

Persistent link: https://www.econbiz.de/10013483588

A global optima search field division method for evolutionary algorithms

Ahangar, Reza Gharoie; Pavur, Robert J.; Gharavi, Hani - In: Journal of the Operational Research Society 73 (2022) 5, pp. 1085-1104

Persistent link: https://www.econbiz.de/10013372975

Solving combinatorial bi-level optimization problems using multiple populations and migration schemes

Said, Rihab; Elarbi, Maha; Bechikh, Slim; Said, Lamjed Ben - In: Operational research : an international journal 22 (2022) 3, pp. 1697-1735

Persistent link: https://www.econbiz.de/10013442164

Sustainable development early warning and financing risk management of resource-based industrial clusters using optimization algorithms

Wang, Yawen; Xue, Weixian - In: Journal of Enterprise Information Management 35 (2022) 4/5, pp. 1374-1391

(SVM) algorithm that is analyzed together with the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm …

Persistent link: https://www.econbiz.de/10014860096

A progressive genetic-based neural architecture search

Chen, Yi-Cheng - In: Industrial Management & Data Systems 122 (2022) 3, pp. 645-665

Purpose Recently, more and more attention has been put forth on the application and deep learning, due to the widespread practicability of neural network computation. The purpose of this paper is developing an effective algorithm to automatically discover the optimal neural network architecture...

Persistent link: https://www.econbiz.de/10014825768

Intelligent obstacle avoidance path planning method for picking manipulator combined with artificial potential field method

Fang, Zheng; Liang, Xifeng - In: Industrial Robot: the international journal of robotics … 49 (2022) 5, pp. 835-850

-tongue algorithm with genetic algorithm (GA) and reinforcement learning (RL) to reduce the path length and the number of path nodes in …, based on a slope-type potential field. At the same time, we use genetic algorithm to strengthen the ability of the …, which is good for improving the efficiency of robot work. The use of genetic algorithm and reinforcement learning lays the …

Persistent link: https://www.econbiz.de/10014835904

GA-BP neural network modeling for project portfolio risk prediction

Bai, Libiao; Wei, Lan; Zhang, Yipei; Zheng, Kanyin; … - In: Journal of Enterprise Information Management 37 (2022) 3, pp. 828-850

. Design/methodology/approach In this study, the authors build a PPR prediction model based on a genetic algorithm and back …

Persistent link: https://www.econbiz.de/10015349963

The reestablishment of Mosul's city fabric: an approach to computational hybridization

Alani, Mostafa; Kahera, Akel Ismail - In: Archnet-IJAR: International Journal of Architectural … 16 (2022) 1, pp. 154-171

. In the subsequent phase, the study utilizes the identified design criteria to develop a genetic algorithm inspired by … developed genetic algorithm was able to generate hybridized design solutions that have been spatially validated. Originality …

Persistent link: https://www.econbiz.de/10014676380

Scheduling hybrid flow shops with time windows

Yang, Fan; Leus, Roel - 2018

Persistent link: https://www.econbiz.de/10012049457

A multi- (depot, path, vehicle) 4D traveling purchaser problem for perishable and breakable items under disruption through quantum-inspired memetic algorithm

Maity, Samir; Pradhan, Kunal; Nag, Bodhibrata; Basu, Sumanta - 2018

Persistent link: https://www.econbiz.de/10011967772