In recent decades, Estimation of Distribution Algorithms (EDAs) have gained much
popularity in the evolutionary computation community for solving optimization problems …

Optimisation algorithms designed to work on quantum computers or other specialised
hardware have been of research interest in recent years. Commercial solvers that use …

Natural hazards mainly occur unexpectedly and disrupt or completely stop the normal
function of society [[1],[2],[3],[4]]. About 11,500 natural hazards occurred in the 1980–2015 …

Existing data mining-based meta-heuristic approaches have endeavored to efficiently solve
the Quadratic Assignment Problem (QAP). However, their captured heuristic information …

The aim of this research is to identify and analyze the causes and effects of tourism
competitiveness, as well as cause–effect relationships from the perspective of two groups of …

Heterogeneous platforms collaborate to execute tasks through different operational models,
resulting in the task allocation problem that incorporates different agent models. In this …

Solution representation is an important aspect of the development of a meta-heuristic.
However, most meta-heuristics focus on the algorithm aspect rather than the solution …

An experimental comparison of two or more optimization algorithms requires the same
computational resources to be assigned to each algorithm. When a maximum runtime is set …

An experimental comparison of two or more optimization algorithms requires the same
computational resources to be assigned to each algorithm. When a maximum runtime is set …

Probability-based algorithms have proven to be a solid alternative for approaching
optimization problems. Nevertheless, in many cases, using probabilistic models that …