International Multidisciplinary Journal to Promote Optimization Theory & Applications in Engineering Sciences
ⓘ Please note this journal’s peer review system has changed, it now uses Snapp (Springer Nature’s Article Processing Platform). See the journal updates page for more information.
Optimization and Engineering promotes the advancement of optimization methods and the innovative application of optimization in engineering. It provides a forum where engineering researchers can obtain information about relevant new developments in optimization, and researchers in mathematical optimization can read about the successes of and opportunities for optimization in the various engineering fields. We encourage the submission of manuscripts that make a genuine mathematical optimization contribution to a challenging engineering problem.
Special Issue on Sustainable Development of Energy, Water and Environment Systems – SDEWES, dedicated to the SDEWES 2022 Conferences
Guest Editors: Dr. Jia-Bao Liu (Anhui Jianzhu University, China), Dr. Muhammad Javaid (University of Management and Technology, Pakistan), Dr. Mohammad Reza Farahani (Iran University of Science and Technology, Iran)
Submission Deadline: February 08, 2024
This special issue aims at bringing together articles that discuss recent advances in Graph Theory-based Approaches for Optimizing Neural Network Architectures. Graph theory has emerged as a powerful tool for optimizing neural network architectures. As the field of artificial intelligence continues to advance, researchers and engineers look for innovative methods to design more efficient and effective neural networks. Exploiting graph theory principles can address challenges related to model complexity, training efficiency and generalization capabilities. In Neural networks, especially deep learning models have demonstrated remarkable success in various tasks such as image recognition, natural language processing and speech synthesis. However, the increased complexity of these models comes with a trade-off. Graph theory provides a framework for modeling neural networks as graphs provided with neurons as nodes and connections as edges. We encourage submissions from researchers in this background to demonstrate the effectiveness of graph theory-based approaches on various benchmark datasets and real-world applications.
Snapp (Springer Nature’s Article Processing Platform) is our new peer review platform, replacing the previous system, Editorial Manager.
Guest Editors: D. Auroux (Universite’ Cote d’Azur, France), V. Kovanis (Virginia Tech, USA), H. Kunze (University of Guelph, Canada), D. La Torre (SKEMA Business School, France)
Submission deadline: November 30, 2023
This special issue aims at bringing together articles that discuss recent advances in machine learning and inverse problems. Machine Learning is a subset of Artificial Intelligence focusing on computers’ ability to learn from data and to imitate intelligence human behaviour. A typical inverse problem seeks to find a mathematical model that admits given observational data as an approximate solution. Recent contributions in these areas aim at exploring potential synergies between their two different domains of research. From one hand, in fact, machine learning algorithms can leverage large collections of training data to directly compute regularized reconstructions and estimate unknown parameters. From the other hand, machine learning algorithms can benefit from the vast inverse problem literature and the existing contributions to the theory of inverse problems, and they can be used to simulate boundary value data when they are missing.
Guest editors: Dr. Marian Trafczynski (Warsaw University of Technology), Prof. Neven Duić (University of Zagreb), Prof. Krzysztof Urbaniec (Warsaw University of Technology), Dr. Hrvoje Mikulčić (Xi'an Jiaotong University/ University of Zagreb, Zagreb), Dr. Slawomir Alabrudzinski (Warsaw University of Technology).
Submission Deadline: December 31, 2022
The background of this Virtual Special Issue of the Optimization and Engineering journal are the 2022 Sustainable Development of Energy, Water and Environment Systems (SDEWES) Conferences. This broad field was discussed by the participants of three conferences held in 2022 – 3rd Latin American SDEWES Conference (Sao Paulo), 5th Southeast European SDEWES Conference (Vlorë) and 17th SDEWES Conference (Paphos).
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