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In association with the development of intermittent renewable energy generation (REG), dynamic multiobjective dispatch faces more challenges for power system operation due to significant REG uncertainty.
Tingli Cheng +6 more
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Multiobjective synchronization of coupled systems [PDF]
Copyright @ 2011 American Institute of PhysicsSynchronization of coupled chaotic systems has been a subject of great interest and importance, in theory but also various fields of application, such as secure communication and neuroscience. Recently, based
Blekhman I. I. +7 more
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Numerical results for the multiobjective trust region algorithm MHT
In this data article, we report data and numerical results related to the research article entitled ”A trust region algorithm for heterogeneous multiobjective optimization” by Thomann and Eichfelder in SIAM Journal on Optimization.
Jana Thomann, Gabriele Eichfelder
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Multiobjective optimization for multiproduct batch plant design under economic and environmental considerations [PDF]
This work deals with the multicriteria cost–environment design of multiproduct batch plants, where the design variables are the size of the equipment items as well as the operating conditions.
Azzaro-Pantel, Catherine +3 more
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Parameter influence law analysis and optimal design of a dual mass flywheel
The influence of the dynamic parameters of a dual mass flywheel (DMF) on its vibration reduction performance is analyzed, and several optimization algorithms are used to carry out multiobjective DMF optimization design.
Guangqiang Wu, Guoqiang Zhao
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A bi-objective genetic algorithm approach to risk mitigation in project scheduling [PDF]
A problem of risk mitigation in project scheduling is formulated as a bi-objective optimization problem, where the expected makespan and the expected total cost are both to be minimized.
Kilic, Murat +5 more
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On the Impact of Multiobjective Scalarizing Functions [PDF]
Recently, there has been a renewed interest in decomposition-based approaches for evolutionary multiobjective optimization. However, the impact of the choice of the underlying scalarizing function(s) is still far from being well understood. In this paper,
E. Zitzler +6 more
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Reliability-based multiobjective optimization using the satisficing trade-off method
This study proposes a reliability-based multiobjective optimization (RBMO) approach using the satisficing trade-off method (STOM). STOM is a multiobjective optimization method that obtains a highly accurate single Pareto solution, regardless of the shape
Nozomu KOGISO +2 more
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Multivariate Stochastic Optimization Approach Applied in a Flux-Cored Arc Welding Process
One of the main goals in flux-cored arc welding processes is the optimization of bead geometry, in which multiple geometric characteristics of the welding bead are important; therefore, multiobjective optimization programming is often applied.
Alexandre F. Torres +5 more
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Evolutionary Algorithms for [PDF]
Many real-world problems involve two types of problem difficulty: i) multiple, conflicting objectives and ii) a highly complex search space. On the one hand, instead of a single optimal solution competing goals give rise to a set of compromise solutions,
Eckart Zitzler +3 more
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