Results 251 to 260 of about 5,264,754 (318)
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Engineering optimization (Print)
This article proposes a solution to the Dynamic Economic Emission Dispatch (DEED) problem, which incorporates wind, solar and plug-in electric vehicles (PEVs) into the optimization challenge.
Jatin M. Soni, Kuntal Bhattacharjee
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This article proposes a solution to the Dynamic Economic Emission Dispatch (DEED) problem, which incorporates wind, solar and plug-in electric vehicles (PEVs) into the optimization challenge.
Jatin M. Soni, Kuntal Bhattacharjee
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An Ecological Equilibrium Dynamics Optimization Approach
International Journal of Computational Methods, 2021In order to solve the problem of complex function optimization, the ecological balance dynamics-based optimization (EBDO) algorithm is proposed based on the Lotka–Volterra ecological balance dynamics. The algorithm assumes that there are three populations of nurturers, consumers, and decomposers in an ecosystem.
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Equilibrium Optimizer for Community Microgrid Energy Scheduling
2023 IEEE Industrial Electronics and Applications Conference (IEACon), 2023The local electricity grid serving a small community is called the community microgrid (CMG). Among many challenges of the CMG, the most critical one is energy scheduling through optimal utilization of available resources to minimize overall operating ...
Emad Alzahrani +3 more
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IEEE Systems Journal
This article presents an approach to address the drawback of stagnation in the local optimum and poor diversity of the Pareto front exhibited in existing heuristic algorithms on optimal power flow problem.
Wei Liu +3 more
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This article presents an approach to address the drawback of stagnation in the local optimum and poor diversity of the Pareto front exhibited in existing heuristic algorithms on optimal power flow problem.
Wei Liu +3 more
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A Hybrid Equilibrium Optimizer Algorithm and Its Optimization for LSTM
International Conference on Advanced Computer Theory and Engineering, 2023Aiming at the shortcomings of the equilibrium optimizer (EO) algorithm such as premature and slow convergence, a hybrid equilibrium optimizer (HEO) algorithm is proposed using a hybrid improvement strategy. Firstly, a chaotic reverse learning strategy is
Lingfang Li +3 more
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Economic Equilibrium: Optimality and Price Decentralization
Positivity, 2002The goal of the paper under review is to present a mathematically precise formalism of the market equilibrium concept and its role in the mathematical economics. After an extensive introduction to the development of the market and general equilibrium models and their components, the attention is focused on the convex exchange economies and non-convex ...
Aliprantis, C. D. +2 more
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Commitee decisions: optimality and equilibrium [PDF]
We consider a committee facing a binary decision under uncertainty. Each member holds some private information. Members may have different preferences and initial beliefs, but they all agree which decision should be taken in each of the two states of the world.
Jean-François Laslier, Jörgen Weibull
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OPTIMAL GEOMETRY IN EQUILIBRIUM AND GROWTH
Fractals, 1995We discuss geometric optimization as a mathematical device with which to model several natural processes involving surface free energy.
Almgren, Fred, Taylor, Jean E.
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Feature Selection Using Equilibrium Optimizer
2021To tackle the problem of the feature selection, the newly introduced algorithm of equilibrium optimization is featured in this paper. The algorithm is inspired from dynamic mass balance inside a control volume. Each agent (particle) updates concentration with best solutions obtained so far leading to equilibrium state, i.e., optimum result.
Gaurav Tikhe +4 more
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The Improved Equilibrium Optimization Algorithm
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 2020Recent studies on the nature-inspired approaches are also focusing on the improvements in addition to the construction of new algorithms. Improvements on the controlling parameters are also relevant. The important control parameter balancing the exploration and exploitation ratio was always relevant to the maximum allowed iteration times.
Zheng-Ming Gao +3 more
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