Computational Optimization, Modelling and Simulation: Recent Trends and Challenges
Xin-She Yang,Slawomir Koziel,Leifur Leifsson +2 more
- 01 Jan 2013
- Vol. 18, pp 855-860
TL;DR: This review paper will analyse the recent trends in modelling and optimization, and their associated challenges, and discuss important topics for further research, including parameter-tuning, large-scale problems, and the gaps between theory and applications.
read more
Abstract: Modelling, simulation and optimization form an integrated part of modern design practice in engineering and industry. Tremendous progress has been observed for all three components over the last few decades. However, many challenging issues remain unresolved, and the current trends tend to use nature-inspired algorithms and surrogate-based techniques for modelling and optimization. This 4th workshop on Computational Optimization, Modelling and Simulation (COMS 2013) at ICCS 2013 will further summarize the latest developments of optimization and modelling and their applications in science, engineering and industry. In this review paper, we will analyse the recent trends in modelling and optimization, and their associated challenges. We will discuss important topics for further research, including parameter-tuning, large-scale problems, and the gaps between theory and applications.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Bat algorithm: a novel approach for global engineering optimization
Xin-She Yang,Amir H. Gandomi +1 more
TL;DR: A new nature‐inspired metaheuristic optimization algorithm, called bat algorithm (BA), based on the echolocation behavior of bats is introduced, and the optimal solutions obtained are better than the best solutions obtained by the existing methods.
Bat Algorithm: A Novel Approach for Global Engineering Optimization
Xin-She Yang,Amir H. Gandomi +1 more
TL;DR: In this article, a new nature-inspired metaheuristic optimization algorithm, called bat algorithm (BA), is introduced for solving engineering optimization tasks, which is based on the echolocation behavior of bats.
1.2K
Nature Inspired Methods and Their Industry Applications—Swarm Intelligence Algorithms
Adam Slowik,Halina Kwasnicka +1 more
TL;DR: This paper presents the particle swarm optimization (PSO) algorithm and the ant colony optimization (ACO) method as the representatives of the SI approach and mentions some metaheuristics belonging to the SI.
239
Soft computing techniques in structural and earthquake engineering: a literature review
TL;DR: A state-of-the-art review of the main applications of soft computing techniques to relevant structural and earthquake engineering problems is proposed, including the applications of fuzzy computing, evolutionary computing, swarm intelligence, and neural networks.
142
Cultural coyote optimization algorithm applied to a heavy duty gas turbine operation
Juliano Pierezan,Gabriel Maidl,Eduardo Massashi Yamao,Leandro dos Santos Coelho,Leandro dos Santos Coelho,Viviana Cocco Mariani,Viviana Cocco Mariani +6 more
TL;DR: The results show that the proposed Cultural Coyote Optimization Algorithm (CCOA) outperforms its counterpart for benchmark functions and the convergence analysis shows that the cultural mechanism employed in the CCOA has improved the COA balance between exploration and exploitation.
95
References
•Book
Metaheuristics: From Design to Implementation
El-Ghazali Talbi
- 22 Jun 2009
TL;DR: This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling.
Surrogate-based Analysis and Optimization
Nestor V. Queipo,Raphael T. Haftka,Wei Shyy,Tushar Goel,Rajkumar Vaidyanathan,P. Kevin Tucker +5 more
TL;DR: The multi-objective optimal design of a liquid rocket injector is presented to highlight the state of the art and to help guide future efforts.
2.4K
Recent advances in surrogate-based optimization
TL;DR: The present state of the art of constructing surrogate models and their use in optimization strategies is reviewed and extensive use of pictorial examples are made to give guidance as to each method's strengths and weaknesses.
2.2K
•Book
Grid Computing: Making the Global Infrastructure a Reality
Francine Berman,Geoffrey C. Fox,Anthony J. G. Hey,Tony Hey +3 more
- 01 Jan 2003
TL;DR: The Grid Computing: Features contributions from the major players in the field Covers all aspects of grid technology from motivation to applications provided an extensive state-of-the-art guide in grid computing as mentioned in this paper.
1.5K
Bat algorithm: a novel approach for global engineering optimization
Xin-She Yang,Amir H. Gandomi +1 more
TL;DR: A new nature‐inspired metaheuristic optimization algorithm, called bat algorithm (BA), based on the echolocation behavior of bats is introduced, and the optimal solutions obtained are better than the best solutions obtained by the existing methods.
Related Papers (5)
Christodoulos A. Floudas,Panos M. Pardalos +1 more
- 31 Jul 2012