Search Results - subject:"Annealing algorithm"

Flowshop scheduling problem with parallel semi-lines and final synchronization operation

Guimarães, Irce F. G.; Ouazene, Yassine; Souza, … - In: Computers & operations research : and their … 108 (2019), pp. 121-133

Persistent link: https://www.econbiz.de/10012064973

Routing problems in agricultural cooperatives: a model for optimization of transport vehicle logistics

Guitián de Frutos, Roque M.; Casas-Méndez, Balbina - In: IMA journal of management mathematics 30 (2019) 4, pp. 387-412

Persistent link: https://www.econbiz.de/10012101348

Research on the time optimization model algorithm of Customer Collaborative Product Innovation

Yu, Guodong; Yu, Yang; Xing, Qingsong; Li, Fei - In: Journal of Industrial Engineering and Management (JIEM) 7 (2014) 1, pp. 137-152

innovation and shorten the product design cycle, an improved genetic annealing algorithm of the time optimization was presented … defects of the traditional genetic annealing algorithm, the niche genetic annealing algorithm was presented. Firstly, it … improved genetic simulated annealing algorithm overcomes some defects such as effective gene easily lost in early search. It is …

Persistent link: https://www.econbiz.de/10011939112

Research on the time optimization model algorithm of Customer Collaborative Product Innovation

Yu, Guodong; Yu, Yang; Xing, Qingsong; Li, Fei - In: Journal of industrial engineering and management : JIEM 7 (2014) 1, pp. 137-152

Persistent link: https://www.econbiz.de/10011904375

Application of Neural Network With New Hybrid Algorithm in Volcanic Rocks Seismic Prediction

Liu, Yanchao; Yan, Limei; Xu, Jianjun - In: International Journal of Cognitive Informatics and … 12 (2018) 4, pp. 55-68

This article has studied the application design and implementation of neural network with new hybrid algorithm in volcanic rocks prediction. It is considered that the convergence rate of EBP algorithm is slow, and the local minimum value can be obtained by EBP algorithm, and the approximation of...

Persistent link: https://www.econbiz.de/10012043715

A New Model of Projection Pursuit Grade Evaluation Model Based on Simulated Annealing Ant Colony Optimization Algorithm

Zhaomei, Gai; Rentao, Liu; Qiuxiang, Jiang - In: International Journal of Cognitive Informatics and … 12 (2018) 4, pp. 69-80

Projection pursuit model (PP) is widely used in many fields, especially quality evaluation. One of the biggest shortages of PP was that the projection direction is strongly influenced by relevant parameters. In order to solve this problem, many experts and scholars introduced all kinds of...

Persistent link: https://www.econbiz.de/10012043716

Selective maintenance scheduling under stochastic maintenance quality with multiple maintenance actions

Duan, Chaoqun; Deng, Chao; Gharaei, Abolfazl; Wu, Jun; … - In: International journal of production research 56 (2018) 23, pp. 7160-7178

Persistent link: https://www.econbiz.de/10011986905

Modeling and solution of maximal covering problem considering gradual coverage with variable radius over multi-periods

Eydi, Alireza; Mohebi, Javad - In: RAIRO / Operations research 52 (2018) 4/5, pp. 1245-1260

Persistent link: https://www.econbiz.de/10011987291

Direct Solution of Fuzzy Project Crashing Problem with Fuzzy Decision Variables using Tabu Search and Simulated Annealing Algorithms

Göçken, Tolunay - In: International Journal of Fuzzy System Applications (IJFSA) 6 (2017) 1, pp. 17-35

Project management is a very important field employed for scheduling activities and monitoring the progress, in competitive and fluctuating environments. Project crashing analysis is concerned with shortening the project duration time by accelerating some of its activities at an additional cost....

Persistent link: https://www.econbiz.de/10012044820

Heuristics-based time-aware multi-criteria test case prioritisation technique

Maheswari, R. Uma; Mala, D. Jeya - In: International journal of information systems and change … 9 (2017) 4, pp. 315-333

Persistent link: https://www.econbiz.de/10011858364