Optimization and its related solving methods are becoming increasingly important in most
academic and industrial fields. The goal of the optimization process is to make a system or a …

This paper presents a novel, robust, efficient, and simple optimization algorithm called the
Object-Oriented Programming Optimization Algorithm (OOPOA) for tackling constrained and …

The travelling thief problem (TTP) is a multi-component combinatorial optimization problem
that has gained significant attention in the evolutionary computation and heuristic search …

Many real-world problems are composed of several interacting components. In order to
facilitate research on such interactions, the Traveling Thief Problem (TTP) was created in …

Many real-world optimization problems have multiple interacting components. Each of these
can be an NP-hard problem, and they can be in conflict with each other, ie, the optimal …

Many real-world problems are composed of multiple interacting sub-problems. However, few
investigations have been carried out to look into tackling problems from a metaheuristics …

Many evolutionary and constructive heuristic approaches have been introduced in order to
solve the Travelling Thief Problem (TTP). However, the accuracy of such approaches is …

Real-world problems often comprise multiple interdependent sub-problems. The
interdependency between sub-problems makes the original problem complex. The …

In this paper, we investigate the use of hyper-heuristics for the travelling thief problem (TTP).
TTP is a multi-component problem, which means it has a composite structure. The problem …

Local Optima Networks are models proposed to understand the structure and properties of
combinatorial landscapes. The fitness landscape is explored as a graph whose nodes …