K. Deb, Single and multi-objective optimization using evolutionary computation, in: Proceedings of the 6th International Conference on Hydro-Informatics, World Scientific, Singapore, 2004.Deb, K., "Single and Multi-Objective Optimization Using Evolutionary Computation," Proceedings of the 6th ...
Summary: Due to the vagaries of optimization problems encountered in practice, users resort to different algorithms for solving different optimization problems. In this paper, we suggest an optimization procedure which specializes in solving multi-objective, multi-global problems. The algorithm is carefull...
In this multi-disciplinary study, we harnessed techniques from combinatorial optimization to analyze publicly available single-cell tumor transcriptomics data to chart the landscape of future personalized combinations that are based on ‘modular’ therapies, including CAR-T therapy. We showed that, for m...
But in case of multi-objective optimization the Experimental setup and methodology The experiment was conducted on an existing single cylinder four stroke CI engine can be seen in Fig. 1. The specifications of the test engine are detailed in Table 2 conforming to the Indian Standards IS:11170-...
Despite the emergence of experimental methods for simultaneous measurement of multiple omics modalities in single cells, most single-cell datasets include only one modality. A major obstacle in integrating omics data from multiple modalities is that diff
The behavior of optimization-based super-resolution methods is principally driven by the choice of the objective function. Recent work has largely focused on minimizing the mean squared reconstruction error. The resulting estimates have high peak signal-to-noise ratios, but they are often lacking high...
This article presents a non-conventional design approach of high order passive filters incorporated with distributed energy grid integration systems based on particle swarm optimization (PSO) as one of multi-objective evolutionary search algorithms. Two topologies of passive grid filters (third order passi...
A modeling technique coupling FEM and element free Galerkin method is adopted.The multicriteria decision making process is adopted.The crashworthiness of foam-filled single and bitubal polygonal columns is compared.Multiobjective optimization design for foam-filled circular bitubal tube is conducted.The ...
The insights of the MultOpt++ optimization engine are illustrated in Figure 1 (right). As demonstrated by many researches in a wide range of approaches, evolutionary algorithms are effective for solving multi-objective optimization problems.[29,30,31,32] Therefore, the first optimization step is ...
Evaluation of Network Equivalents for Voltage Optimization in Multi-Area Power Systems The paper addresses the problem of decentralized optimization for a power system partitioned into several areas controlled by different transmission system... Y Phulpin,M Begovic,M Petit,... - 《IEEE Transactions ...