Search Results - subject:"Opposition-Based Learning"

Elitist-opposition-based artifcial electric feld algorithm for higher-order neural network optimization and fnancial time series forecasting

Nayak, Sarat Chandra; Dehuri, Satchidananda; Cho, Sung-Bae - In: Financial innovation : FIN 10 (2024), pp. 1-43

optima by retaining the fne-tuned solutions obtained thus far, and opposition-based learning helps enhance its exploration … basic AEFA while tak‑ ing advantage of both elitism and opposition-based learning. Hence, the improved version attempts to …

Persistent link: https://www.econbiz.de/10014530164

Predicting corporate financial failure using sigmoidal opposition-based arithmetic optimization algorithm

Khaldi, Mohamed; Manita, Ghaith; Chhabra, Amit; Guesmi, … - In: Computational economics 66 (2025) 1, pp. 517-569

Persistent link: https://www.econbiz.de/10015590778

An improved tunicate swarm algorithm with random opposition based learning for global optimization problems

Chandran, Vanisree; Mohapatra, Prabhujit - In: Opsearch : journal of the Operational Research Society … 62 (2025) 2, pp. 959-984

Persistent link: https://www.econbiz.de/10015532935

Machine learning multi-objective optimization for time-dependent green vehicle routing problem

Nyako, Sidonie Ienra; Tayachi, Dalila; Ben Abdelaziz, Fouad - In: Energy economics 148 (2025), pp. 1-11

Persistent link: https://www.econbiz.de/10015604417

An opposition-based memetic algorithm for the maximum quasi-clique problem

Zhou, Qing; Benlic, Una; Wu, Qinghua - In: European journal of operational research : EJOR 286 (2020) 1, pp. 63-83

Persistent link: https://www.econbiz.de/10012239891

An efficient generalised opposition-based multi-objective optimisation method for factory cranes with time-space constraints

Zhou, Binghai; Liao, Xiumei - In: European journal of industrial engineering : EJIE 14 (2020) 5, pp. 684-714

Persistent link: https://www.econbiz.de/10012316119

Coordinated scheduling of production and transportation in a two-stage assembly flowshop

Wang, Kai; Ma, W. Q.; Luo, H.; Qin, H. - In: International journal of production research 54 (2016) 21/22, pp. 6891-6911

Persistent link: https://www.econbiz.de/10011565955

A hybrid discrete biogeography-based optimization for the permutation flow shop scheduling problem

Lin, Jian - In: International journal of production research 54 (2016) 15/16, pp. 4805-4814

Persistent link: https://www.econbiz.de/10011518978

Multiple strategies based orthogonal design particle swarm optimizer for numerical optimization

Qin, Quande; Cheng, Shi; Zhang, Qingyu; Wei, Yi-Ming; … - In: Computers & operations research : and their … 60 (2015), pp. 91-110

Persistent link: https://www.econbiz.de/10011279666

An efficient Differential Evolution based algorithm for solving multi-objective optimization problems

Ali, Musrrat.; Siarry, Patrick; Pant, Millie. - In: European Journal of Operational Research 217 (2012) 2, pp. 404-416

the advantages of Opposition-Based Learning for generating an initial population of potential candidates and the concept …

Persistent link: https://www.econbiz.de/10010871204