The self-organizing migrating algorithm (SOMA) is a population-based meta-heuristic that
belongs to swarm intelligence. In the last 20 years, we can observe two main streams in the …

Day-by-day impulse detection seems critical because removing the random-valued impulse
noise with high density from the noisy image is a typical task. The specified noise does not …

In this paper, a tri-objective optimization problem related to sequencing in multi-model
reconfigurable assembly systems (RAS) is addressed. RASs are also designed around …

The paper describes a multi-disciplinary design of modern communication systems. The
design starts with the analysis of a system in order to define requirements on its individual …

A single‐and multi‐objective optimization package is presented and described in detail. It
contains an ensemble of local and global optimization routines. Procedures controlling …

In this article, we describe the design and implementation of a variant version of SOMA
named SOMA Pareto to solve ten hard problems of the 100-Digit Challenge. The algorithm …

Dynamic variation in demand has led to the need for agility and reconfiguration in supply
chains. This paper presents a bi-objective optimisation problem related to performances of a …

The Self-Organizing Migrating Algorithm (SOMA) is enjoying a renewed interest of the
research community, following recent achievements in various application areas and …

Almost every optimization problem can be viewed as multi-objective one. Multi-objective
problems with conflicting objectives lead to so called Pareto front which expresses trade-off …

This research paper aims to explore the possibilities of parameterization of state-of-the-art
adaptive mechanisms incorporated in the self-organizing migrating algorithm (SOMA). This …