Integrated Energy Multi-Objective Operation Optimization [PDF]
E3S Web of Conferences, 2020 The Integrated Energy System (IES) offers a new approach to the energy dilemma. It introduces demand-side response into the Regional Integrated Energy System (RIES) and proposes an operational optimization model considering Integrated Demand Side ...
Liu Zhao +7 more
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A Bayesian approach to constrained single- and multi-objective optimization [PDF]
, 2016 This article addresses the problem of derivative-free (single- or multi-objective) optimization subject to multiple inequality constraints. Both the objective and constraint functions are assumed to be smooth, non-linear and expensive to evaluate.
A Bayesian +7 more
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Multi-objective particle swarm optimization algorithm for multi-step electric load forecasting [PDF]
, 2020 As energy saving becomes more and more popular, electric load forecasting has played a more and more crucial role in power management systems in the last few years.
Chen, Yanhua +3 more
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A Decentralized Multi-objective Optimization Algorithm [PDF]
Journal of Optimization Theory and Applications, 2021 During the past two decades, multi-agent optimization problems have drawn increased attention from the research community. When multiple objective functions are present among agents, many works optimize the sum of these objective functions. However, this formulation implies a decision regarding the relative importance of each objective function.
Maude J. Blondin, Matthew Hale
openaire +3 more sources
Multi objective optimization of microalgae flat plate photobioreactor design
E3S Web of Conferences, 2018 Indonesia as a maritime country has high potential in developing microalgae. Microalgae in Indonesia have a high oil component of around 20-30%, for example Nitzschia palea (23%), Chlorella vulgaris (27%), and Euglena gracilis (20%).
Rahman Arif +3 more
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Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios
IEEE Access, 2017 Recently, a large number of multi-objective evolutionary algorithms (MOEAs) for many-objective optimization problems have been proposed in the evolutionary computation community. However, an exhaustive benchmarking study has never been performed.
Ryoji Tanabe +2 more
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Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging [PDF]
, 2007 The use of kriging in cost-effective single-objective optimization is well established, and a wide variety of different criteria now exist for selecting design vectors to evaluate in the search for the global minimum.
Hawe, G.I., Sykulski, J.K.
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Methods That Optimize Multi-Objective Problems: A Survey and Experimental Evaluation
IEEE Access, 2020 Most current multi-optimization survey papers classify methods into broad objective categories and do not draw clear boundaries between the specific techniques employed by these methods.
Kamal Taha
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Multi‐objective optimization of cordon sanitaire with vehicle waiting time constraint
IET Intelligent Transport Systems, 2021 The outbreak of COVID‐19 has disrupted our regular life. Many local authorities have enforced a cordon sanitaire for the protection of sensitive areas. Travelers can only travel across the cordon after getting qualified.
Hongzhi Lin
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Real ant colony optimization as a tool for multi-criteria problems
Computer Assisted Methods in Engineering and Science, 2017 This paper presents a population-based heuristic method - a real ant colony optimization (RACO) as a tool for multi-criteria optimization problems. The idea of multi-criteria optimization is discussed and the necessary modifications of RACO are proposed.
Iwona Nowak, Grzegorz Nowak
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