Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies [PDF]
, 2012 This paper proposes the use of multiagent cooperation for solving global optimization problems through the introduction of a new multiagent environment, MANGO.
A. Günay +34 more
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Mathematical Biosciences and Engineering, 2022 Aquila Optimizer (AO) and African Vultures Optimization Algorithm (AVOA) are two newly developed meta-heuristic algorithms that simulate several intelligent hunting behaviors of Aquila and African vulture in nature, respectively.
Yaning Xiao +5 more
doaj +1 more source
3D NoC Low-Power Mapping Optimization Based on Improved Genetic Algorithm
Micromachines, 2021 Power optimization is an important part of network-on-chip(NoC) design. This paper proposes an improved algorithm based on genetic algorithm on how to properly map IP (Intellectual Property) cores to 3D NoC.
Yu Gan, Hong Guo, Ziheng Zhou
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Global Continuous Optimization with Error Bound and Fast Convergence [PDF]
, 2015 This paper considers global optimization with a black-box unknown objective function that can be non-convex and non-differentiable. Such a difficult optimization problem arises in many real-world applications, such as parameter tuning in machine learning,
Kawaguchi, Kenji +2 more
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An efficient parallel global optimization strategy based on Kriging properties suitable for material parameters identification [PDF]
Archive of Mechanical Engineering, 2020 Material parameters identification by inverse analysis using finite element computations leads to the resolution of complex and time-consuming optimization problems. One way to deal with these complex problems is to use meta-models to limit the number of
Emile Roux +3 more
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Fast multi-swarm optimization for dynamic optimization problems [PDF]
, 2008 This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Li, C, Yang, S
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Domestic energy management methodology for optimizing efficiency in Smart Grids [PDF]
, 2009 Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of domestic technologies have been developed to improve this efficiency.
Bakker, Vincent +4 more
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Distributed global optimization (DGO) [PDF]
Proceedings of International Conference on Neural Networks (ICNN'96), 2002 A new technique of global optimization and its applications in particular to neural networks are presented. The algorithm is also compared to other global optimization algorithms such as Gradient descent (GD), Monte Carlo (MC), Genetic Algorithm (GA) and other commercial packages.
Valafar, Homayoun +2 more
openaire +2 more sources
Agent-based Optimization of Advisory Strategy Parameters
Journal of Telecommunications and Information Technology, 2013 In this paper, an application of Evolutionary Multiagent Systems (EMAS) and its memetic version to the optimization of advisory strategy (in this case, Sudoku advisory strategy) is considered.
Mateusz Polnik +2 more
doaj +1 more source
Application of reduced-set pareto-lipschitzian optimization to truss optimization [PDF]
, 2015 In this paper, a recently proposed global Lipschitz optimization algorithm Pareto-Lipschitzian Optimization with Reduced-set (PLOR) is further developed, investigated and applied to truss optimization problems.
Mockus, J +4 more
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