Metaheuristics are popularly used in various fields, and they have attracted much attention
in the scientific and industrial communities. In recent years, the number of new metaheuristic …

Abstract Black-Box Optimization (BBO) is increasingly vital for addressing complex real-
world optimization challenges, where traditional methods fall short due to their reliance on …

Lot streaming is the most widely used technique to facilitate overlap** of successive
operations. Inspired by real-world scenarios, this paper studies a multi-objective hybrid …

This study addresses a reconfigurable distributed flowshop group scheduling problem
(RDFGSP), the characteristics of which lie in the reconfigurability of the flowlines, and the …

Inspired by a real-world cellular manufacturing system for processing printed circuit boards
(PCBs), this study addresses a reconfigurable distributed flowshop scheduling problem …

Most multiobjective optimization algorithms maintain an archive explicitly or implicitly during
their search. Such an archive can be solely used to store high-quality solutions presented to …

NSGA-II is, by far, the most popular metaheuristic that has been adopted for solving multi-
objective optimization problems. However, its most common usage, particularly when …

Multi-objective evolutionary algorithms (MOEAs) have become an important choice for
solving multi-objective optimization problems. The performance of MOEAs is highly …

Research in multi-objective particle swarm optimizers (MOPSOs) progresses by proposing
one new MOPSO at a time. In spite of the commonalities among different MOPSOs, it is often …

The field of optimization metaheuristics has a long history of finding inspiration in natural
systems. Starting from classic methods such as Genetic Algorithms and Ant Colony …