Search Results - subject:"Artificial Bee Colony Algorithm"

A particle swarm inspired multi-elitist artificial bee colony algorithm for real-parameter optimization

Xiang, Yi; Peng, Yuming; Zhong, Yubin; Chen, Zhenyu; … - In: Computational Optimization and Applications 57 (2014) 2, pp. 493-516

The Artificial Bee Colony (ABC) algorithm is one of the most recent swarm intelligence based algorithms which simulates the foraging behavior of honey bee colonies. In this work, a particle swarm inspired multi-elitist ABC algorithm named PS-MEABC is proposed and applied for real-parameter...

Persistent link: https://www.econbiz.de/10010759119

Transit route and frequency design: Bi-level modeling and hybrid artificial bee colony algorithm approach

Szeto, W.Y.; Jiang, Y. - In: Transportation Research Part B: Methodological 67 (2014) C, pp. 235-263

This paper proposes a bi-level transit network design problem where the transit routes and frequency settings are determined simultaneously. The upper-level problem is formulated as a mixed integer non-linear program with the objective of minimizing the number of passenger transfers, and the...

Persistent link: https://www.econbiz.de/10010907092

Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey

Uzlu, Ergun; Akpınar, Adem; Özturk, Hasan Tahsin; … - In: Energy 69 (2014) C, pp. 638-647

The primary objective of this study was to apply the ANN (artificial neural network) model with the ABC (artificial bee … colony) algorithm to estimate annual hydraulic energy production of Turkey. GEED (gross electricity energy demand …

Persistent link: https://www.econbiz.de/10011054467

An artificial bee colony algorithm for the economic lot scheduling problem

Bulut, Onder; Tasgetiren, M. Fatih - In: International journal of production research 52 (2014) 4, pp. 1150-1170

Persistent link: https://www.econbiz.de/10010256256

Improved sheep flock heredity algorithm and artificial bee colony algorithm for scheduling m-machine flow shops lot streaming with equal size sub-lot problems

Chakaravarthy, G. Vijay; Marimuthu, S.; Ponnambalam, S. G. - In: International journal of production research 52 (2014) 5, pp. 1509-1527

Persistent link: https://www.econbiz.de/10010257370

A hybrid artificial bee colony algorithm for the job shop scheduling problem

Zhang, Rui; Song, Shiji; Wu, Cheng - In: International Journal of Production Economics 141 (2013) 1, pp. 167-178

The job shop scheduling problem (JSSP) has attracted much attention in the field of both information sciences and operations research. In terms of the objective function, most existing research has been focused on the makespan criterion (i.e., minimizing the overall completion time). However,...

Persistent link: https://www.econbiz.de/10010594388

A modified artificial bee colony algorithm for order acceptance in two-machine flow shops

Wang, Xiuli; Xie, Xingzi; Cheng, T.C.E. - In: International Journal of Production Economics 141 (2013) 1, pp. 14-23

problem is computationally intractable. In view of the fact that artificial bee colony algorithm has been shown to be an … basic artificial bee colony algorithm to treat our problem. Based on the results of the pilot study and the problem … characteristics, we develop a modified artificial bee colony algorithm. The experimental results show that the modified artificial bee …

Persistent link: https://www.econbiz.de/10010594400

Synchronous and asynchronous Pareto-based multi-objective Artificial Bee Colony algorithms

Akay, Bahriye - In: Journal of Global Optimization 57 (2013) 2, pp. 415-445

Pareto-based multi-objective optimization algorithms prefer non-dominated solutions over dominated solutions and maintain as much as possible diversity in the Pareto optimal set to represent the whole Pareto-front. This paper proposes three multi-objective Artificial Bee Colony (ABC) algorithms...

Persistent link: https://www.econbiz.de/10010845868

A modified artificial bee colony algorithm for order acceptance in two-machine flow shops

Wang, Xiuli; Xie, Xingzi; Cheng, T. C. E. - In: International journal of production economics 141 (2013) 1, pp. 14-23

Persistent link: https://www.econbiz.de/10009685718

A hybrid artifical bee colony algorithm for the fuzzy flexible job-shop scheduling problem

Wang, Ling; Zhou, Gang; Xu, Ye; Liu, Min - In: International journal of production research 51 (2013) 12, pp. 3593-3608

Persistent link: https://www.econbiz.de/10009775748