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A hybrid PSO-SA algorithm for the travelling tournament problem

Tajbakhsh, Alireza; Eshghi, Kourosh; Shamsi, Azam - In: European Journal of Industrial Engineering 6 (2012) 1, pp. 2-25

. In addition, a very fast hybrid metaheuristic algorithm is proposed, which combines particle swarm optimisation (PSO) and …

Persistent link: https://www.econbiz.de/10010667494

Solving hybrid flow shop scheduling problems using bat algorithm

Marichelvam, M.K.; Prabaharan, T.; Yang, Xin-She; Geetha, M. - In: International Journal of Logistics Economics and … 5 (2013) 1, pp. 15-29

This paper investigates the multistage hybrid flow shop (HFS) scheduling problems using the new bat algorithm. A HFS is the generalisation of flowshop with multiple machines. HFS is one of the important scheduling problems that represent many industries like iron and steel, chemical, textile and...

Persistent link: https://www.econbiz.de/10010668820

Bio-inspired intelligence for credit scoring

Goletsis, Yorgos; Exarchos, Themis P.; Katsis, Christos D. - In: International Journal of Financial Markets and Derivatives 2 (2011) 1/2, pp. 32-49

The application of quantitative techniques for the determination of credit worthiness, i.e., the credit scoring, is a major research field for bankers and academics as it can bring about significant savings to finance institutions whilst minimising their exposure to risk. In the current work,...

Persistent link: https://www.econbiz.de/10010670191

Development and comparative performance evaluation of neural network classification techniques for manufacturing sector firms on the basis of new product growth rate

Bhatnagar, Vikas; Majhi, Ritanjali - In: International journal of business information systems : … 33 (2020) 2, pp. 157-179

Persistent link: https://www.econbiz.de/10012172508

Resources programming model of government investment project group based on improved firefly algorithm

Wu, Yunna; Xiao, Xinli; Song, Zongyun - In: International journal of technology, policy and … 17 (2017) 2, pp. 123-138

Persistent link: https://www.econbiz.de/10011800541

An efficient heuristic algorithm for solving a multi-vessel quay crane scheduling problem in container terminals

Ding, Yi; Chen, Xiazhong; Chen, Kaimin - In: International journal of shipping and transport … 16 (2023) 3/4, pp. 454-477

Persistent link: https://www.econbiz.de/10014311148

Soft computing for HR uncertainty management in steel industry

Panigrahy, Rajat Kumar; Mishra, R.K.; Patnaik, Srikanta - In: International Journal of Data Analysis Techniques and … 5 (2013) 3, pp. 252-269

This paper discussed possible application of soft computing methods in uncertainty management of the HR component in steel industry during automation period. It explained the importance of HR, the concept of uncertainty management and risk. Risk assessment map of Rourkela Steel Plant is...

Persistent link: https://www.econbiz.de/10010682875

Atmospheric environment impact assessment of thermal power plant

Niu, Dongxiao; Wang, Weijun; Wu, Desheng - In: International Journal of Global Energy Issues 32 (2009) 4, pp. 361-371

Due to the excess consumption of natural resources and the severe deterioration of the environment, people are having a growing consciousness of environmental protection and more concerned of air pollution problems. However, the thermal power plant, as one of the main pollution sources, burns a...

Persistent link: https://www.econbiz.de/10008755327

An exploration of the literature on the use of 'swarm intelligence-based techniques' for public service problems

Dereli, Turkay; Seckiner, Serap Ulusam; Das, Gulesin Sena; … - In: European Journal of Industrial Engineering 3 (2009) 4, pp. 379-423

The importance of studying public service systems and finding robust solutions to the problems encountered in public service management has increased considerably over the past decade. One of the main objectives is to find acceptable solutions to Public Service Problems (PSPs) within an...

Persistent link: https://www.econbiz.de/10008563613

Mining association rules using hybrid genetic algorithm and particle swarm optimisation algorithm

Indira, K.; Kanmani, S. - In: International Journal of Data Analysis Techniques and … 7 (2015) 1, pp. 59-76

solve by traditional methods. Genetic algorithm (GA) and particle swarm optimisation (PSO) are both population …-based heuristic search methods, which are well suited for mining association rules. GA and PSO both have their unique features and … limitations. A hybrid method combining both genetic algorithm and particle swarm optimisation called hybrid GA/PSO (GPSO) is …

Persistent link: https://www.econbiz.de/10011207794