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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Authors: Yang, Ying | Liu, Shaoshuai | Wang, Xiaolong | Guo, Xiaopeng
Article Type: Research Article
Abstract: The optimal management of electrical energy systems is a major concern for energy providers facing uncertainties. In this work, energy demand management and dispatch in the electricity microgrid are performed using an interval optimization strategy under conditions of electricity price uncertainty. Demand dispatch is implemented through the Demand Response Program (DRP) incentive modeling. As a solution, incentive modeling based on the price of the offer to reduce electricity demand during peak periods is proposed. In order to minimize the effects of electricity price uncertainty, the interval optimization approach is used. The main goal of the proposed approach is to minimize …the operational cost, and the epsilon constraint-based fuzzy method was used to solve and handle the problem. Finally, the power microgrid was used in different case studies for the results of the numeric simulations and for the positive effects of the proposed modeling under conditions of uncertainty. Show more
Keywords: Uncertainties, interval optimization approach, demand response program (DRP), epsilon constraint method
DOI: 10.3233/JIFS-236130
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 3, pp. 7401-7412, 2024
Authors: Li, Shanglin | Xiao, Juan | Li, Yalan | Chen, Xuegang
Article Type: Research Article
Abstract: Favorite-longshot and reverse favorite-longshot biases have become widespread in various traditional sports betting markets in recent years. However, there is a limited number of investigations that have been conducted on the eSports betting market or the bettors that operate within it. In the present research, we have made efforts to re-examine the bias and market inefficiency in four typical eSport games: League of Legends , Counter-Strike: Global Offensive , Dota 2 , and King of Glory . Due to the natural characteristics of e-sports, we analyze the reasons for the market biases from 4 aspects: commission, region, match format, and …tournaments. We find that both the favorite-longshot and reverse favorite-longshot bias occur in eSports. Moreover, the distribution of these betting biases is completely different among different eSports game titles and tournaments. The results of the weighted linear regression model reveal that long match format is the important factor of long-short bias, while regional tournaments are the important factor of reverse long-short bias in League of Legends . Show more
Keywords: eSports, betting market, favorite-longshot, market bias, market inefficiency, statistical analysis
DOI: 10.3233/JIFS-232932
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 3, pp. 7413-7426, 2024
Authors: Xing, Cheng | Wang, Jie-Sheng | Liu, Yu
Article Type: Research Article
Abstract: With the increasing complexity and difficulty of numerical optimization problems in the real world, many efficient meta-heuristic optimization methods have been proposed to solve these problems. An improved Fireworks Algorithm (FWA) with elitism-based selection and optimal particle guidance strategies (EO-FWA) was proposed to address the limitations of the traditional FWA in terms of optimization accuracy and convergence speed, which not only improves the efficiency of the searching agent but also accelerates its convergence speed. In addition, by adopting boundary-based mapping rules, EO-FWA eliminates the randomness of traditional modulo operation mapping rules, which improves its stability and reliability. Twelve benchmark functions …in CEC-BC-2022 are used to test the performance of EO-FWA, and the welded beam design problem is optimized at the end. The results show that EO-FWA exhibits stronger competitiveness than other algorithms in dealing with high-dimensional optimization problems and engineering optimization problem, and it can balance exploitation and exploration effectively so as to prevent the algorithm from falling into local optimal solutions. Show more
Keywords: Fireworks algorithm, elitist-based selection strategy, optimal particle guidance, optimization problem
DOI: 10.3233/JIFS-234536
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 3, pp. 7427-7446, 2024
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