尊重
发表于 2025-3-28 18:06:32
,Tabu Search with Multiple Decision Levels for Solving Heterogeneous Fleet Pollution Routing Problemods. Thus, they face significant challenges in managing their orders to be delivered on time. However, transportation is responsible for . of the . emissions of the total polluting gases in the atmosphere. Therefore, there is a growing interest to investigate methods to optimize logistics and to con
Hyaluronic-Acid
发表于 2025-3-28 22:18:27
,A Learning Metaheuristic Algorithm for a Scheduling Application,ies to improve the performance of metaheuristics have increasingly relied on the use of various methods, either combining different metaheuristics or originating outside of the metaheuristic field. This paper presents a learning algorithm to improve the performance of tabu search by reducing its sea
废止
发表于 2025-3-29 01:14:08
,MineReduce-Based Metaheuristic for the Minimum Latency Problem,at vertices. Recently, a proposal that incorporates data mining into a state-of-the-art metaheuristic by injecting patterns from high-quality solutions has consistently led to improved results in terms of solution quality and running time for this problem. This paper extends that proposal by leverag
SLUMP
发表于 2025-3-29 04:08:33
Optimizing Multi-variable Time Series Forecasting Using Metaheuristics,eal-world behavior is useful for understanding the intrinsic relationship between variables. However, selecting a predictor that ensures good performance for variables of different natures is not always a simple process. An algorithmic approach based on metaheuristics could be a good alternative to
离开
发表于 2025-3-29 10:24:13
,Unsupervised Machine Learning for the Quadratic Assignment Problem, local search algorithms are proposed. The extraction of frequent itemsets in the context of local search is shown to produce good results for a few problem instances. Negative results of the proposed learning mechanism are reported for other instances. This result contrasts with other hard optimiza
烧烤
发表于 2025-3-29 14:38:07
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BATE
发表于 2025-3-29 19:28:57
Neural Architecture Search Using Differential Evolution in MAML Framework for Few-Shot Classificatietwork that can then be adapted to any novel task using a few optimization steps. In this study, we take MAML with a simple four-block convolution architecture as our baseline, and try to improve its few-shot classification performance by using an architecture generated automatically through the neu
debunk
发表于 2025-3-29 19:52:55
Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation,gnificant limitation hampering the effectiveness of deep neural network based segmentation task. Manual selection of these hyper-parameters is not feasible as the search space increases. At the same time, these generated networks are problem-specific. Recently, studies that perform segmentation of m
COKE
发表于 2025-3-30 00:57:25
,Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimizationvergence and diversity for quantitatively comparing MOEAs. Specifically, Convergence-Diversity Pair (C-D Pair) is proposed to statistically compare the convergence and diversity of two MOEAs. C-D Pair provides analytical information on the overall experimental results. In addition, Convergence-Dive
Occupation
发表于 2025-3-30 07:11:56
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