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For multimodal multi-objective optimization problems (MMOPs), there are multiple equivalent Pareto optimal solutions in the decision space that are corresponding to the same objective value.
Jiajia Fan +3 more
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Friction stir welding parameter optimization using novel multi objective dragonfly algorithm
Friction stir welding (FSW) is a type of welding in which the joint is made in the solid phase using the heat generated through friction. FSW is used to produce welds with superior strength with low distortion. At present, the FSW technique is enormously
P. Pitchipoo +3 more
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Integrated Energy Multi-Objective Operation Optimization [PDF]
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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This paper presents a tri-level many-objective optimization (TLMaO) approach to provide a final solution for many-objective optimization problems (MaOPs).
J. H. Zheng +3 more
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MOBOpt — multi-objective Bayesian optimization
This work presents a new software, programmed as a Python class, that implements a multi-objective Bayesian optimization algorithm. The proposed method is able to calculate the Pareto front approximation of optimization problems with fewer objective ...
Paulo Paneque Galuzio +3 more
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A Decentralized Multi-objective Optimization Algorithm [PDF]
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
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Multi objective optimization of microalgae flat plate photobioreactor design
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
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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Methods That Optimize Multi-Objective Problems: A Survey and Experimental Evaluation
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
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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