Results 11 to 20 of about 20,865 (294)
Hybrid Meta-Heuristics for Robust Scheduling [PDF]
, 2006 The production and delivery of rapidly perishable goods in distributed supply networks involves a number of tightly coupled decision and optimization problems regarding the just-in-time production scheduling and the routing of the delivery vehicles in ...
Dekker, R. (Rommert) +3 more
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Meta-heuristics for portfolio optimization
Soft Computing, 2023 AbstractPortfolio optimization has been studied extensively by researchers in computer science and finance, with new and novel work frequently published. Traditional methods, such as quadratic programming, are not computationally effective for solving complex portfolio models.
Kyle Erwin, Andries P. Engelbrecht
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Benchmarking Meta-heuristic Optimization
International Journal of Advanced Networking and Applications, 2020 Solving an optimization task in any domain is a very challenging problem, especially when dealing with nonlinear problems and non-convex functions. Many meta-heuristic algorithms are very efficient when solving nonlinear functions. A meta-heuristic algorithm is a problem-independent technique that can be applied to a broad range of problems.
Mona Nasr +5 more
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IEEE Access, 2020 Nonlinear Model-based Predictive Control (NMPC) is a relevant research area having applications in the industrial sector. Traditionally, in this technique, gradient descent algorithms have been used to solve the related optimization problem.
Eduardo De Mendonca Mesquita +3 more
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A Survey of the Nurse Rostering Solution Methodologies: The State-of-the-Art and Emerging Trends
IEEE Access, 2022 This paper presents an overview of recent advances for the Nurse Rostering Problem (NRP) based on methodological papers published between 2012 to 2021.
Chong Man Ngoo +5 more
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Feasibility restoration for iterative meta-heuristics search algorithms [PDF]
, 2002 Many combinatorial optimisation problems have constraints that are difficult for meta-heuristic search algorithms to process. One approach is that of feasibility restoration.
Randall, Marcus
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Task management in IoT-Fog-Cloud environment employing static scheduling Techniques
ENP Engineering Science Journal, 2022 In a distributed computing system, there are limited resources, which needs to be utilized effectively. Then for improving QoS Fog computing paradigm is an effective way, with suitable allocations.
Gauvav Goel, Rajeev Tiwari
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Study on the Impact of the NS in the Performance of Meta-Heuristics in the TSP [PDF]
, 2016 Meta-heuristics have been applied for a long time to the Travelling Salesman Problem (TSP) but information is still lacking in the determination of the parameters with the best performance.
Madureira, A. M. +2 more
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IEEE Access, 2020 Heterogeneous green scheduling in virtual cloud is an urgent need of human sustainable developments. However, on the one hand, there is still considerable space beyond reach of the hardware energy regulation mode; on the other hand, as the core of green ...
Shaohui Li +3 more
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Integrated Simulation-Based Optimization of Operational Decisions at Container Terminals
Algorithms, 2021 At container terminals, many cargo handling processes are interconnected and occur in parallel. Within short time windows, many operational decisions need to be made and should consider both time efficiency and equipment utilization.
Marvin Kastner +3 more
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