Water Cycle-like Algorithm for Unconstrained Optimization Problem
Zhiding Wu, Wu Jiekang · Jisuanji gongcheng · 2011
(Abstract )According to unconstrained optimization problem, inspiring from water cycle process, a new global optimization algorithm called Water Cycle(like Algorithm(WCA) is presented. Five optimal selected processes of particles, such as confluence, diffluence, infiltration, evaporation and rainfall, are given. Through measure particles' population, location and weight, these processes adjust particles and population to adapt the need of current searching, intellectually and dynamically. A new optimal searching mechanism of relative gravity is proposed too, which uses relative gravity to guide particles to a better location. Theoretical analysis and simulation results prove that the algorithm can increase iteration speed, enhance search accuracy, prevent the situation that particles fall into local best. (Key words )unconstrained optimization; global optimum; water cycle(like; gravity mechanism; relative gravity DOI: 10.3969/j.issn.1000(3428.2011.22.062