Stefka Fidanova - Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2019

The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligencequickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.

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Many real-world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. Every day, we solve optimization problems. Optimization occurs in the minimizing time and cost or the maximization of the profit, quality and efficiency. Such problems are frequently characterized by non-convex, non-differentiable, discontinuous, noisy or dynamic objective functions and constraints which ask for adequate computational methods.

This volume is a result of very vivid and fruitful discussions held during the Workshop on Computational Optimization. The participants have agreed that the relevance of the conference topic and quality of the contributions have clearly suggested that a more comprehensive collection of extended contributions devoted to the area would be very welcome and would certainly contribute to a wider exposure and proliferation of the field and ideas.

The volume includes important real problems like modeling of physical processes, wildfire and flood risk modeling, workforce planning, parameter settings for controlling different processes, optimal electrical vehicle modeling, bioreactor modeling, design of VLSI. Some of them can be solved applying traditional numerical methods, but others need huge amount of computational resources. Therefore, for them are more appropriate to develop an algorithms based on some metaheuristic method like evolutionary computation, ant colony optimization, particle swarm optimization, bee colony optimization, constrain programming, etc.

Workshop on Computational Optimization (WCO 2019) is organized in the framework of Federated Conference on Computer Science and Information Systems FedCSIS-2019.

Stefka Fidanova, IICT-BAS (Bulgaria)

Antonio Mucherino, IRISA (Rennes, France)

Daniela Zaharie, West University of Timisoara (Romania)

Germano Abud, Universidade Federal de Uberlndia, Brazil

Tibrius Bonates, Universidade Federal do Cear, Brazil

Mihaela Breaban, University of Iasi, Romania

Aritanan Gruber, Universidade Federal of ABC, Brazil

Khadija Hadj Salem, University of ToursLIFAT Laboratory, France

Hiroshi Hosobe, National Institute of Informatics, Japan

Andrzej Janusz, University of Warsaw, Poland

Carlile Lavor, IMECC-UNICAMP, Campinas, Brazil

Mircea Marin, West University of Timisoara, Romania

Flavia Micota, West University Timisoara, Romania

Ionel Muscalagiu, Politehnica University Timisoara, Romania

Camelia Pintea, Tehnical University Cluj-Napoca, Romania

Stefan Stefanov, Neofit Rilski University, Bulgaria

Catalin Stoean, University of Craiova, Romania

Antanas Zilinskas, Vilnius University, Lithuania