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06/14/2023
A Unified Probabilistic Framework for Spatiotemporal Passenger Crowdedness Inference within Urban Rail Transit Network
This paper proposes the Spatio-Temporal Crowdedness Inference Model (STC...
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04/08/2023
Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search
The large-scale multiobjective optimization problem (LSMOP) is character...
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04/08/2023
A Recommender System Approach for Very Large-scale Multiobjective Optimization
We define very large multi-objective optimization problems to be multiob...
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12/17/2022
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection
Recently, evolutionary multitasking (EMT) has been successfully used in ...
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05/20/2022
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism
Large-scale multiobjective optimization problems (LSMOPs) refer to optim...
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01/26/2022
A Cooperation-Aware Lane Change Method for Autonomous Vehicles
Lane change for autonomous vehicles (AVs) is an important but challengin...
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07/16/2021
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model
The main feature of large-scale multi-objective optimization problems (L...
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02/24/2021
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization
Real-world multiobjective optimization problems usually involve conflict...
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01/08/2021
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks
Large-scale multiobjective optimization problems (LSMOPs) are characteri...
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12/24/2020
Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains
Robot gait optimization is the task of generating an optimal control tra...
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10/20/2019
Online Bagging for Anytime Transfer Learning
Transfer learning techniques have been widely used in the reality that i...
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10/19/2019
Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning
Dynamic multi-objective optimization problems (DMOPs) remain a challenge...
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10/19/2019
Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine
The main feature of the Dynamic Multi-objective Optimization Problems (D...
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10/19/2019
Solving dynamic multi-objective optimization problems via support vector machine
Dynamic Multi-objective Optimization Problems (DMOPs) refer to optimizat...
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08/08/2017
Unconstrained Face Detection and Open-Set Face Recognition Challenge
Face detection and recognition benchmarks have shifted toward more diffi...
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12/19/2016
