Evolutionary algorithm and Swarm Intelligence algorithm (EA, SI), a part of Bio inspired optimization algorithm, have been widely used to solve numerous optimization problem in various science and engineering domains. This paper proposes a Multi Swarm Particle Swarm Optimization (MS-PSO) algorithm inspired by the animal collective behavior, the movement of the swarm and the intelligence of the ...

cellular manufacturing system is one of the most important applications of group technology. design of this system involves many structural and operational issues, in which the cell formation and production planning are two important steps. in this paper, a new mathematical model is proposed for integration of cell formation and production planning problems with the aim of minimizing the overal...

In order to overcome the basic glowworm swarm optimization (GSO) algorithm in the high dimension space function optimization effect is poor defects. This paper, we introduce the idea of the traditional complex method, with the complex method the worst part of the glowworm guidance for reflection be good glowworm swarm, so as to continuously make the worst glowworm swarm become the better glowwo...

Resource management in Underground Wireless Sensor Networks (UWSNs) is one of the pillars to extend network lifetime. An intriguing design goal for such networks achieve balanced energy and spectral resource utilization. This paper focuses on optimizing efficiency UWSNs where underground relay nodes amplify forward sensed data, received from buried source through a lossy soil medium, abovegroun...

Abstract Single-solution-based optimization algorithms have gained little to no attention by the research community, unlike population-based approaches. This paper proposes a novel algorithm, called Single Candidate Optimizer (SCO), that relies only on single candidate solution throughout whole process. The proposed algorithm implements unique set of equations effectively update position soluti...

in this article, a multi-objective memetic algorithm (ma) for rule learning is proposed. prediction accuracy and interpretation are two measures that conflict with each other. in this approach, we consider accuracy and interpretation of rules sets. additionally, individual classifiers face other problems such as huge sizes, high dimensionality and imbalance classes’ distribution data sets. this...

In the last decade, devices and appliances utilizing Internet of Things (IoT) have expanded tremendously, which has led to revolutionary developments in network industry. Smart homes cities, wearable devices, traffic monitoring, health systems, energy savings are typical IoT applications. The diversity standards, protocols, computational resources makes them vulnerable security attackers. Botne...

In recent years, the maximization of a lifetime for wireless sensor networks is considered an important area researchers. The (WSNs) contain two types sensors that called nodes and sink which node send information to central (sink node) collected its data. Choosing best location critical problem faces networks. this paper, we propose method choosing by applying Salp Swarm Algorithm (SSA) after ...