Search

A new local search algorithm for multiobjective optimization problems is proposed to find the global optima accurately and diversely. This paper models the cooperatively local search as a potential field, which is called neighborhood field model (NFM). Using NFM, a new Multiobjective Neighborhood Field Optimization (MONFO) algorithm is proposed. In MONFO, the neighborhood field can drive each individual moving towards the superior neighbor and away from the inferior neighbor. MONFO is compared with other popular multiobjective algorithms under twelve test functions. Intensive simulations show that MONFO is able to deliver promising results in the respects of accuracy and diversity, especially for multimodal problems. [ABSTRACT FROM AUTHOR]

The paper proposes a novel physically inspired population-based metaheuristic algorithm for continuous structural optimization called as Water Evaporation Optimization (WEO). WEO mimics the evaporation of a tiny amount of water molecules adhered on a solid surface with different wettability which can be studied by molecular dynamics simulations. A set of six truss design problems from the small to normal scale are considered for evaluating the WEO. The most effective available state-of-the-art metaheuristic optimization methods are used as basis of comparison. The optimization results demonstrate the efficiency and robustness of the WEO and its competitive performance to other algorithms for continuous structural optimization problems. [ABSTRACT FROM AUTHOR]