Results 111 to 120 of about 55,623 (279)
Complexity, 2019 This paper seeks to improve the photovoltaic (PV) system efficiency using metaheuristic, optimized fractional order incremental conductance (FO-INC) control.
Hossam Hassan Ammar +3 more
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Hybrid Metaheuristics for Multi-Objective Optimization [PDF]
Journal of Algorithms & Computational Technology, 2015 Over the last two decades, interest on hybrid metaheuristics has risen considerably in the field of multi-objective optimization (MOP). The best results found for many real-life or academic multi-objective optimization problems are obtained by hybrid algorithms.
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Block scheduling in practice: An optimal decomposition strategy for nonidentical operating rooms
Decision Sciences, EarlyView.Abstract We develop and implement a Master Surgery Schedule for a real‐life hospital, assigning operating room (OR) time to surgical specialties over a multi‐week horizon. Through action research, we identify a critical operational challenge: the issue of split blocks. Split blocks allow two specialties to share an OR on the same day—one in the morning,
Vincent J. J. van Ham +2 more
wiley +1 more source
Scientific ReportsThe objective of this research is to enhance phishing detection through ensemble learning integrated with well-structured metaheuristic algorithms. Various classifiers, including Logistic Regression, Nearest Neighbors, Support Vector Machine, Decision ...
Achin Jain +7 more
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Bio-inspired Optimization: metaheuristic algorithms for optimization
, 2020 In today's day and time solving real-world complex problems has become fundamentally vital and critical task. Many of these are combinatorial problems, where optimal solutions are sought rather than exact solutions. Traditional optimization methods are found to be effective for small scale problems.
Game, Pravin S, Vaze, Vinod, M, Emmanuel
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Multiple-Response Optimization by using Neural Networks and Metaheuristic Algorithms
, 2023 Hossein Abbasi +2 more
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Production routing decisions in a two‐echelon supply chain with multiple delivery modes
International Transactions in Operational Research, EarlyView.Abstract We study an original two‐echelon production routing problem with multiple delivery modes (2E‐PRP‐MDM). In the first echelon, the primary production facility is tasked with satisfying the demands of two distinct entities: a set of warehouses and a set of customers through direct shipments. In the second echelon, warehouses become delivery hubs,
Rachida Benfedel +2 more
wiley +1 more source
Optimization of Soft Actuator Geometry and Material Modeling Using Metaheuristic Algorithms
ActuatorsThe geometry of soft actuators significantly impacts their performance, including force generation, range of motion, and adaptability. Optimizing actuator geometry and material properties under specific constraints is crucial for achieving desired ...
Mohamed Slim +4 more
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Portfolio Optimization with Metaheuristics
Finance and Market, 2017 <p>Portfolio optimization is the problem ofsearching foran optimal allocation of wealth to put in the available assets. Since the seminalworkdoneby Markowitz, the problem is codifiedas a two-objective mean-risk optimization problem where the best trade-off solutions (portfolios) between risk (measured by variance) and mean are hunted.
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International Transactions in Operational Research, EarlyView.Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz +3 more
wiley +1 more source