羊齿
发表于 2025-3-30 11:30:02
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AXIS
发表于 2025-3-30 15:21:02
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temperate
发表于 2025-3-30 19:20:16
Solving Vehicle Routing Problem Using a Hybridization of ,-Based Ant Colony Optimization and Fireflearch domain. Though many variations of classical VRP are being developed, there is still the need for developing algorithms to improve solutions for VRP. A hybrid gain-based ant colony optimization-firefly algorithm (GACO-FA) has been proposed to deal with VRP. A global search is initially performe
chance
发表于 2025-3-31 00:31:12
Impact of Local Search in the Memetic Particle Swarm Optimization,ation capability due to the implementation of local search algorithms helping the population-based algorithms. They were used to solve several theoretical and practical optimization problems. Despite this, there is still a need to study further these algorithms’ behavior and what makes an algorithm
jaunty
发表于 2025-3-31 03:56:22
Classification of Emotions in Ambient Assisted Living Environment using Machine Learning Approaches are in need. The AAL helps a person’s health and well-being by systematically managing their daily routines and activities. AAL’s goals include allowing individuals to live independently in a preferred setting, keeping an eye on their health, and maintaining privacy and security. The individuals re
哪有黄油
发表于 2025-3-31 08:38:44
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整洁
发表于 2025-3-31 09:17:34
Variable Neighborhood Search for Cost Function Networks,h over-constrained problems as well as preferences between solutions. Most solving approaches for CFNs rely on complete tree search methods. Few attempts have been done to use local search approaches to solve CFNs. This chapter investigates the use of Variable Neighborhood Search (VNS) for CFNs. We
使长胖
发表于 2025-3-31 14:24:19
Neural Networks and Deep Learning,work constituting the human brain so that the computer can learn and make decisions like a human. On the other hand, deep learning indicates a neural network with more than three layers. Deep neural networks are capable of extracting higher-level features from the raw data to solve complicated optim
CODE
发表于 2025-3-31 19:13:12
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vascular
发表于 2025-4-1 01:32:10
Deep Learning for Solving Loading, Packing, Routing, and Scheduling Problems,ed by an agent through its actions in accordance with the state of the environment. Deep learning has proved to be efficient in solving complex optimization problems. In this study, we investigate the use of deep learning (DL) to solve combinatorial optimization problems related to scheduling, packi