Metaheuristic algorithms are widely known as efficient solutions for solving problems of
optimization. These algorithms supply powerful instruments with significant engineering …

Abstract Cultural Algorithms (CAs) are evolutionary algorithms (EAs) inspired by the
conceptual models of the human cultural evolution process. In contrast to the conventional …

One of the most important and widely faced optimization problems in real applications is the
interval multiobjective optimization problems (IMOPs). The state-of-the-art evolutionary …

Many real-world multi-objective optimization problems are subject to environmental changes
over time, resulting in changing Pareto-optima. Wide studies on solving dynamic multi …

When solving multi-objective problems (MOPs) with a large number of variables, analysis of
the linkage between decision variables is maybe useful for avoiding “the curse of …

Welding robots are widely used for most welding works in manufacturing industries due to
their flexible, efficient and accurate operation. At the same time, it can improve enterprise …

For large-scale multi-objective problems (LSMOPs), it is necessary to get a good grouping
strategy or another way to reduce dimensions because of “the curse of dimensions”. In this …

This work mainly focuses on the mathematical formulation of an imprecise inventory model
with partial prepayment policy in interval environment. In the proposed model, two different …

In recent decades, metaheuristics have proven their effectiveness in solving large-scale real-
world problems with multiple objectives. However, we still need to design robust algorithms …

Simultaneous optimization of several competing objectives requires increasing the
capability of optimization algorithms. This paper proposes the multi-objective moth swarm …