Evolutionary multitask optimization: a methodological overview, challenges, and future research directions
In this work, we consider multitasking in the context of solving multiple optimization problems
simultaneously by conducting a single search process. The principal goal when dealing with …
simultaneously by conducting a single search process. The principal goal when dealing with …
Evolutionary multiform optimization with two-stage bidirectional knowledge transfer strategy for point cloud registration
Point cloud registration is an important task in computer vision, where the goal is to estimate
a transformation to align a pair of point clouds. Most of the existing registration methods face …
a transformation to align a pair of point clouds. Most of the existing registration methods face …
What makes evolutionary multi-task optimization better: A comprehensive survey
H Zhao, X Ning, X Liu, C Wang, J Liu - Applied Soft Computing, 2023 - Elsevier
Evolutionary multi-task optimization (EMTO) is a new branch of evolutionary algorithm (EA)
that aims to optimize multiple tasks simultaneously within a same problem and output the …
that aims to optimize multiple tasks simultaneously within a same problem and output the …
Half a dozen real-world applications of evolutionary multitasking, and more
Until recently, the potential to transfer evolved skills across distinct optimization problem
instances (or tasks) was seldom explored in evolutionary computation. The concept of …
instances (or tasks) was seldom explored in evolutionary computation. The concept of …
A bi-objective knowledge transfer framework for evolutionary many-task optimization
Many-task problem (MaTOP) is a kind of challenging multitask optimization problem with
more than three tasks. Two significant issues in solving MaTOPs are measuring intertask …
more than three tasks. Two significant issues in solving MaTOPs are measuring intertask …
Multi-view point cloud registration based on evolutionary multitasking with bi-channel knowledge sharing mechanism
Multi-view point cloud registration is fundamental in 3D reconstruction. Since there are close
connections between point clouds captured from different viewpoints, registration …
connections between point clouds captured from different viewpoints, registration …
Block-level knowledge transfer for evolutionary multitask optimization
Evolutionary multitask optimization is an emerging research topic that aims to solve multiple
tasks simultaneously. A general challenge in solving multitask optimization problems …
tasks simultaneously. A general challenge in solving multitask optimization problems …
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
Weakly supervised video anomaly detection (WSVAD) is a challenging task. Generating fine-
grained pseudo-labels based on weak-label and then self-training a classifier is currently a …
grained pseudo-labels based on weak-label and then self-training a classifier is currently a …
Multitasking optimization via an adaptive solver multitasking evolutionary framework
Multitasking optimization (MTO) aims to solve multiple tasks simultaneously in a single run.
Many multitasking evolutionary algorithms (MTEAs) have been developed in recent years for …
Many multitasking evolutionary algorithms (MTEAs) have been developed in recent years for …
Transferable adaptive differential evolution for many-task optimization
The evolutionary multitask optimization (EMTO) algorithm is a promising approach to solve
many-task optimization problems (MaTOPs), in which similarity measurement and …
many-task optimization problems (MaTOPs), in which similarity measurement and …