Parallel computational optimization in operations research: A new integrative framework, literature review and research directions
TL;DR: A new integrative framework of parallel computational optimization across optimization problems, algorithms and application domains is suggested and applied to synthesize prior research on parallel optimization in OR, focusing on computational studies published in the period 2008-2017.
read more
About: This article is published in European Journal of Operational Research. The article was published on 16 Nov 2020. and is currently open access. The article focuses on the topics: Optimization problem & Parallel algorithm.
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
Big Data Analytics Using Cloud Computing Based Frameworks for Power Management Systems: Status, Constraints, and Future Recommendations
TL;DR: In this paper , the authors reviewed the concept of cloud computing architecture that can meet the multi-level real-time requirements to improve monitoring and performance which is designed for different application scenarios for power system monitoring, and discussed the cloud computing solutions under the background of big data, and emerging parallel programming models such as Hadoop, Spark, and Storm are briefly described to analyze the advancement, constraints, and innovations.
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
Aritz D. Martinez,Javier Del Ser,Esther Villar-Rodriguez,Eneko Osaba,Javier Poyatos,Siham Tabik,Daniel Molina,Francisco Herrera +7 more
TL;DR: This work comprehensively review and critically examine contributions made so far based on three axes - optimization and taxonomy, critical analysis, and challenges - which outline a complete vision of a merger of two technologies drawing up an exciting future for this area of fusion research.
35
A review of parallel computing applications in calibrating watershed hydrologic models
TL;DR: In this paper , the authors present a review of the parallelization of watershed hydrologic models and present a parallelization framework for calibrating watershed hydrological models based on either random-sampling-based algorithms or optimization algorithms.
30
Spatial design strategies and performance of porous pavements for reducing Combined Sewer Overflows
TL;DR: In this article , the performance of Porous Pavement (PP) was examined, with a focus on how the spatial design of PP features affects predicted CSO volume, and numerical experiments were performed to explore how simulation-based designs can identify specific subcatchments for cost-effective PP implementation subject to budgetary constraints.
15
References
•Book
Handbook Of Metaheuristics
Fred Glover,Gary A. Kochenberger +1 more
- 01 Jan 2003
TL;DR: This book discusses Metaheuristic Class Libraries, Hyper-Heuristics, and Artificial Neural Networks for Combinatorial Optimization, which are concerned withMetaheuristic Algorithms and their applications in Search Technology.
•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.
Handbook of Metaheuristics
Michel Gendreau,Jean-Yves Potvin +1 more
TL;DR: The Handbook now includes updated chapters on the best known metaheuristics, including simulated annealing, tabu search, variable neighborhood search, scatter search and path relinking, genetic algorithms, memetic algorithms, genetic programming, ant colony optimization, and multi-start methods.
2.2K
The vehicle routing problem : latest advances and new challenges
Bruce L. Golden,S. Raghavan,Edward Wasil +2 more
- 01 Jan 2008
TL;DR: In this article, the authors present a survey of the state-of-the-art approaches for solving the Capacitated Vehicle Routing Problem on trees and using a genetic algorithm to solve the generalized orienteering problem.
1.4K
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
TL;DR: This survey presented a comprehensive investigation of PSO, including its modifications, extensions, and applications to the following eight fields: electrical and electronic engineering, automation control systems, communication theory, operations research, mechanical engineering, fuel and energy, medicine, chemistry, and biology.