近地点
发表于 2025-3-21 18:24:06
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Dissonance
发表于 2025-3-21 23:48:36
A Two-Stage Algorithm for Integer Multiobjective Simulation Optimizationcation. This paper proposes a two-stage fast convergent search algorithm for MDOvS. In its first stage, the multiobjective optimization problem under consideration is decomposed into several single-objective optimization subproblems, and a Pareto retrospective approximation method is used to generat
丰满中国
发表于 2025-3-22 03:55:23
RegEMO: Sacrificing Pareto-Optimality for Regularity in Multi-objective Problem-Solvinghen multiple PO solutions are to be considered for different scenarios as platform-based solutions, a common structure in them, if available, is highly desired for easier understanding, standardization, and management purposes. In this paper, we propose a modified optimization methodology to avoid c
medium
发表于 2025-3-22 07:45:49
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起草
发表于 2025-3-22 12:39:16
Data-Driven Evolutionary Multi-objective Optimization Based on Multiple-Gradient Descent for Disconnh expensive objective functions. The current research is mainly developed for problems with a ‘regular’ triangle-like Pareto-optimal front (PF), whereas the performance can significantly deteriorate when the PF consists of disconnected segments. Furthermore, the offspring reproduction in the current
祸害隐伏
发表于 2025-3-22 14:27:56
Eliminating Non-dominated Sorting from NSGA-IIItion problems since mid-nineties. Of them, NSGA-III was designed to solve problems having three or more objectives efficiently. It is well established that with an increase in number of objectives, an increasingly large proportion of a random population stays non-dominated, thereby making only a few
祸害隐伏
发表于 2025-3-22 18:45:10
Scalability of Multi-objective Evolutionary Algorithms for Solving Real-World Complex Optimization Pthe curse of dimensionality. This is mainly because the progression of the algorithm along successive generations is based on non-dominance relations that practically do not exist when the number of objectives is high. Also, the existence of many objectives makes the choice of a solution to the prob
Contend
发表于 2025-3-22 23:46:54
Multi-objective Learning Using HV Maximizationreferable. Intuitively, building machine learning solutions in such cases would entail providing multiple predictions that span and uniformly cover the Pareto front of all optimal trade-off solutions. We propose a novel approach for multi-objective training of neural networks to approximate the Pare
Ingratiate
发表于 2025-3-23 02:28:44
Sparse Adversarial Attack via Bi-objective Optimizationmonstrated their vulnerability to adversarial attacks. In particular, image classifiers have shown to be vulnerable to fine-tuned noise that perturb a small number of pixels, known as sparse attacks. To generate such perturbations current works either prioritise query efficiency by allowing the size
floodgate
发表于 2025-3-23 08:56:34
Investigating Innovized Progress Operators with Different Machine Learning Methodsuld be improved, through the intervention of Machine Learning (ML) methods. These studies have shown how . efficient search directions from the intermittent generations’ solutions, could be utilized to create pro-convergence and pro-diversity offspring, leading to better convergence and diversity, r