Abstract
The paper presents a study on performance improvement of an evolutionary computing system built on the basis of JavaScript technology. The system consists of web browsers performing computational tasks and a web server based on Go programming language (Golang technology) that controls the computing environment. The newest web technologies such as HTML5 Web Workres and JavaScript WebAssembly are used to maximize the utilization of the resources provided by web clients. Computational experiments are performed on large instances of popular NP-hard problems: travelling salesman problem (TSP), flowshop scheduling problem (FSP) and recourse constrained project scheduling problem (RCPSP).
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CITATION STYLE
Duda, J., & Dłubacz, W. (2019). Improving efficiency of a web-based distributed evolutionary computing system. In Multi Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2019 and Theory and Practice in Modern Computing 2019 (pp. 143–150). IADIS Press. https://doi.org/10.33965/tpmc2019_201907l018
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