Evolutionary multitask optimization (EMTO) explores how to solve two or more related
optimization tasks simultaneously by exploiting useful knowledge of other related tasks …

Evolutionary multitask optimization (EMTO) studies how to simultaneously solve multiple
optimization tasks via evolutionary algorithms (EAs) while making the useful knowledge …

As an emerging research paradigm in the field of evolutionary computation, evolutionary
multi-task optimization (EMTO) has received an increasing amount of attention due to its …

Multitask optimization aims to solve two or more optimization tasks simultaneously by
leveraging intertask knowledge transfer. However, as the number of tasks increases to the …

Evolutionary multitask optimization is an emerging research topic that aims to solve multiple
tasks simultaneously. A general challenge in solving multitask optimization problems …

Evolutionary multi-task optimization (EMTO) is an optimization algorithm designed to
optimize multiple tasks simultaneously. In real life, different tasks often correlate to each …

As a challenging research topic in evolutionary multitask optimization (EMTO), evolutionary
many-task optimization (EMaTO) aims at solving more than three tasks simultaneously. The …

Multi-task optimization (MTO) is a novel emerging evolutionary computation paradigm. It
focuses on solving multiple optimization tasks concurrently while improving optimization …

Multitask optimisation, which aims to simultaneously handle multiple optimisation problems,
has attracted considerable attention for solving many complex optimisation problems …

Evolutionary multitask optimization (EMTO) has recently attracted widespread attention in
the evolutionary computation community, which solves two or more tasks simultaneously to …