A novel multiobjective optimization algorithm based on bacterial chemotaxis

作者：Alejandra Guzman Maria; Delgado Alberto; De Carvalho Jonas

来源：Engineering Applications of Artificial Intelligence, 2010, 23(3): 292-301.

DOI：10.1016/j.engappai.2009.09.010

• Multiobjective optimization
• Bacterial chemotaxis
• Bio-inspired techniques
• Pareto Optimal Front
• Chemotactical strategy optimization

In this article a novel algorithm based on the chemotaxis process of Echerichia coil is developed to solve multiobjective optimization problems. The algorithm uses fast nondominated sorting procedure, communication between the colony members and a simple chemotactical strategy to change the bacterial positions in order to explore the search space to find several optimal solutions. The proposed algorithm is validated using 11 benchmark problems and implementing three different performance measures to compare its performance with the NSGA-II genetic algorithm and with the particle swarm-based algorithm NSPSO.

• 出版日期2010-4