Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …

Abstract Gene Expression Programming (GEP) is a popular and established evolutionary
algorithm for automatic generation of computer programs. In recent decades, GEP has …

The evolutionary algorithm (EA) is a nature-inspired population-based search method that
works on Darwinian principles of natural selection. Due to its strong search capability and …

Humans rarely tackle every problem from scratch. Given this observation, the motivation for
this paper is to improve optimization performance through adaptive knowledge transfer …

The design of evolutionary algorithms has typically been focused on efficiently solving a
single optimization problem at a time. Despite the implicit parallelism of population-based …

Traditional optimization solvers tend to start the search from scratch by assuming zero prior
knowledge about the task at hand. Generally speaking, the capabilities of solvers do not …

One of the major distinguishing features of the dynamic multiobjective optimization problems
(DMOPs) is that optimization objectives will change over time, thus tracking the varying …

In recent decades, the field of multiobjective optimization has attracted considerable interest
among evolutionary computation researchers. One of the main features that makes …

Humans have the ability to identify recurring patterns in diverse situations encountered over
a lifetime, constantly understanding relationships between tasks and efficiently solving them …

In this report, we suggest nine test problems for multi-task single-objective optimization
(MTSOO), each of which consists of two single-objective optimization tasks that need to be …