Ciarleglio, M.; 2007: Modular Abstract Self-Learning Tabu Search (MASTS) Metaheuristic Search Theory and Practice: The University of Texas at Austin; 207p.Ciarleglio, M.: Modular Abstract Self-Learning Tabu Search (MASTS) Metaheuris- tic Search Theory and Practice. PhD thesis, Univ. Texas...
This research aimed to investigate the effectiveness of using physics-based metaheuristic algorithms in combination with ensemble machine-learning models f
Tamiz M and Jones DF (1997). Interactive frameworks for investigation of goal programming models: Theory and practice . J Multi-Crit Decis Anal 6: 52–60. Article Google Scholar Tamiz M, Jones DF and El-Darzi E (1995). A review of goal programming and its applications . Ann Opns Res...
Nature-inspired swarm-based algorithms are increasingly applied to tackle high-dimensional and complex optimization problems across disciplines. They are general purpose optimization algorithms, easy to implement and assumption-free. Some common drawback
Our goals are to implement all classical as well as the state-of-the-art nature-inspired algorithms, create a simple interface that helps researchers access optimization algorithms as quickly as possible, and share knowledge of the optimization field with everyone without a fee. What you can do ...
theory. Differential Evolution (DE) algorithm is another well-known stochastic population-based algorithm for global optimization2,3. Furthermore, with the popularity of the Imperialist Competitive Algorithm4, there have been various more frequently used population-based algorithms, including Charged System...
2015, Simulation Modelling Practice and Theory Citation Excerpt : Simulation optimization outperforms deterministic exact procedures in terms of considering stochastic and detailed production behaviour. Moreover, simulation optimization considers the utilization of machines, buffer, and cycle time [1]. The ...
it has always been used in training of ANN to improve and overcome the above problems. New metaheuristic algorithms are proposed every year. Therefore, the review of its latest developments is essential. This article attempts to summarize the metaheuristic algorithms which have been proposed from the...
Homaifar A, Lai SH-V, Qi X (1994) Constrained optimization via genetic algorithms. Simulation 62(4):242–254 Article Google Scholar Lee KS, Geem ZW (2004) A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice. Comput Methods Appl Mech Eng...
(2021) Metaheuristic algorithms for one-dimensional bin-packing problems: A survey of recent advances and applications. Journal of Intelligent Systems, Vol. 30 (Issue 1), pp. 636-663. https://doi.org/10.1515/jisys-2020-0117 Munien, Chanaleä and Ezugwu, Absalom E.. "Metaheuristic ...