Memetic computing is a subject in computer science which considers complex structures
such as the combination of simple agents and memes, whose evolutionary interactions lead …

Metaheuristics play a critical role in solving optimization problems, and most of them have
been inspired by the collective intelligence of natural organisms in nature. This paper …

This paper presents a review of interesting work on optimization of highrise building
structures with a focus on large-scale and real-life structures. A number of interesting …

Evolutionary multitasking (EMT) is an emerging research topic in the field of evolutionary
computation. In contrast to the traditional single-task evolutionary search, EMT conducts …

In the last few decades, genetic algorithms (GAs) demonstrated to be an effective approach
for solving real-world optimization problems. However, it is known that, in presence of a …

Nowadays, many optimization issues around us cannot be solved by precise methods or
that cannot be solved in a reasonable time. One way to solve such problems is to use …

In this paper, a new hybrid GSA-GA algorithm is presented for the constraint nonlinear
optimization problems with mixed variables. In it, firstly the solution of the algorithm is tuned …

In this paper, an effective Hyper Heuristic-based Memetic Algorithm (HHMA) is proposed to
solve the Distributed Assembly Permutation Flow-shop Scheduling Problem (DAPFSP) with …

The minmax multiple traveling salesman problem with single depot (the minmax mTSP) or
multiple depots (the minmax multidepot mTSP) aims to minimize the longest tour among a …

Particle swarm optimization (PSO) has attracted much attention and has been applied to
many scientific and engineering applications in the last decade. Most recently, an intelligent …