Details

Autor(en) / Beteiligte

• Marufuzzaman, Mohammad
• Timu, Muneed Anjum
• Sarkar, Jubayer
• Islam, Aminul
• Rahman, Labonnah Farzana
• Sidek, Lariyah Mohd

Titel

Multi Objective PSO with Passive Congregation for Load Balancing Problem

Ist Teil von

• International journal of computers, communications & control, 2021-10, Vol.16 (5)

Ort / Verlag

Oradea: Agora University of Oradea

Erscheinungsjahr

2021

Quelle

EZB-FREE-00999 freely available EZB journals

Beschreibungen/Notizen

• High-level architecture (HLA) and Distributed Interactive Simulation (DIS) are commonly used for the distributed system. However, HLA suffers from a resource allocation problem and to solve this issue, optimization of load balancing is required. Efficient load balancing can minimize the simulation time of HLA and this optimization can be done using the multi-objective evolutionary algorithms (MOEA). Multi-Objective Particle Swarm Optimization (MOPSO) based on crowding distance (CD) is a popular MOEA method used to balance HLA load. In this research, the efficiency of MOPSO-CD is further improved by introducing the passive congregation (PC) method. Several simulation tests are done on this improved MOPSO-CD-PC method and the results showed that in terms of Coverage, Spacing, Non-dominated solutions and Inverted generational distance metrics, the MOPSO-CD-PC performed better than the previous MOPSO-CD algorithm. Hence, it can be a useful tool to optimize the load balancing problem in HLA.