In recent decades, global climate change has become one of the most critical environmental
issues, leading to increased environmental and social concerns about the sustainability of …

Metaheuristics, providing high level guidelines for heuristic optimisation, have successfully
been applied to many complex problems over the past decades. However, their …

The knapsack problem with setup (KPS) is a combinatorial optimization problem with
important application in the industrial field. In order to solve KPS more quickly and effectively …

In order to design algebraic evolutionary algorithms by set algebra, the intersection, union,
complement, difference and symmetric difference operations of 0-1 vectors on {0, 1} n are …

The coati optimization algorithm (COA) is a recently proposed heuristic algorithm. The COA
algorithm, which solved the continuous optimization problems in its original paper, has been …

Due to their advantages in flexibility, scalability, survivability, and cost-effectiveness, drone
swarms have been increasingly used for reconnaissance tasks and have posed great …

A meta-evolutionary framework called Differential Evolution Ensemble Designer (DEED) has
been proposed in this paper to automate the design of DE ensemble algorithms. Given the …

This study presents a competitive algorithm in which the mayfly optimization algorithm (MA)
is combined with a local search procedure to provide high-quality solutions to the α …

Abstract Arithmetic Optimization Algorithm (AOA) is a heuristic method developed in recent
years. The original version was developed for continuous optimization problems. Its success …

The present paper introduces a modified flower pollination algorithm (FPA) enhanced by
evolutionary operators to solve the uncapacitated facility location problem (UFLP), which is …