Search Results - subject:"Genetic algorithm"

Business intelligence appraisal based on customer behaviour profile by using hobby based opinion mining in India : a case study

Nethravathi, Periyapatna Sathyanarayana Rao; Bai, … - In: Economic research 33 (2020) 1,2, pp. 1889-1908

Persistent link: https://www.econbiz.de/10013191248

A Three-Layer Chromosome Genetic Algorithm for Multi-Cell Scheduling With Flexible Routes and Machine Sharing

Feng, Yanling; Li, Guo; Sethi, Suresh P. - 2020

genetic algorithm (TCGA). We first compare the performances of the proposed TCGA with the optimal solution obtained by CPLEX … withthe classic genetic algorithm (GA) and the shortest processing time (SPT) rule through numerical experiments. The results …

Persistent link: https://www.econbiz.de/10014100568

Efficient approaches for the Flooding Problem on graphs

Silva, André Renato Villela; Ochi, Luiz Satoru; … - In: Operations research and systems : XVIII …, (pp. 33-54). 2020

Persistent link: https://www.econbiz.de/10012167776

Multi-objective optimisation in flexible assembly job shop scheduling using a distributed ant colony system

Zhang, Sicheng; Li, Xiang; Zhang, Bowen; Wang, Shouyang - In: European journal of operational research : EJOR 283 (2020) 2, pp. 441-460

Persistent link: https://www.econbiz.de/10012294840

The optimization model of the vendor selection for the joint procurement from a total cost of ownership perspective

Pan, Fu-bin - In: Journal of Industrial Engineering and Management (JIEM) 8 (2015) 4, pp. 1251-1269

procurement from a total cost of ownership perspective. Design/methodology/approach: Fuzzy genetic algorithm is employed to solve …

Persistent link: https://www.econbiz.de/10011939250

An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas

Sheng, Liu; Wen-Jing, Tan; Guo-Dong, Yu; Fei, Li - In: Journal of Industrial Engineering and Management (JIEM) 8 (2015) 5, pp. 1576-1601

allocation. Finally, the Genetic Algorithm is improved based on the adaptive crossover and mutation probability function to solve …

Persistent link: https://www.econbiz.de/10011939267

The transformation of urban industrial land use: A quantitative method

Qiu, Rongxu; Xu, Wei; Zhang, John - In: Journal of Urban Management 4 (2015) 1, pp. 40-52

A large number of cities around the world today owe their land use growth to the rapid development of industrial areas. The spatial structure of industrial distribution in cities shape urban spatial morphology linking with land use, transportation, economic activities, and housing. Meanwhile,...

Persistent link: https://www.econbiz.de/10011986270

Energy Coordinative Optimization of Wind-Storage-Load Microgrids Based on Short-Term Prediction

Hu, Changbin; Luo, Shanna; Li, Zhengxi; Wang, Xin; Sun, Li - In: Energies 8 (2015) 2, pp. 1505-1528

framework of receding horizon optimization, an intelligent genetic algorithm (GA) is applied to figure out the optimum solution …

Persistent link: https://www.econbiz.de/10011169737

Multi-Objective Optimization Design for a Hybrid Energy System Using the Genetic Algorithm

Ko, Myeong Jin; Kim, Yong Shik; Chung, Min Hee; Jeon, … - In: Energies 8 (2015) 4, pp. 2924-2949

minimizing annual greenhouse gas (GHG) emissions. An elitist non-dominated sorting genetic algorithm is utilized for multi …

Persistent link: https://www.econbiz.de/10011261290

A production-inventory model with permissible delay incorporating learning effect in random planning horizon using genetic algorithm

Kar, Mohuya B.; Bera, Shankar; Das, Debasis; Kar, Samarjit - In: Journal of Industrial Engineering International 11 (2015), pp. 555-574

problem with respect to the retailer and solved with the help of genetic algorithm (GA) and PSO. Moreover, the convergence of …

Persistent link: https://www.econbiz.de/10011640865