Biogeography-Based Optimization by Using Crossover Operator for Chemical Engineering Problems

บทคัดย่อ

Biogeography-based optimization (BBO), meta-heuristic optimization, is a new effective population optimization algorithm based on the biogeography theory with inherently insufficient exploration capability. The initial solution will be randomly selected before applying the process of generating a new solution, which is migration and mutation. To address this limitation, we proposed a new technique to enhance biogeography-based optimization (BBO). A new technique is adding the genetic algorithm named cross-over operator to update a new position, which can adopt more information from cross-over functions to increase other habitats to enhance the exploration.  In this research, extensive experimental tests are conducted on two benchmark functions and four the real working fields (four chemical engineering problems with different design conditions) to show the effectiveness of the proposed algorithm. The results of applied enhanced BBO have been compared with the results of applied original BBO algorithms. Finally, enhanced BBO gave more accuracy because enhanced BBO have fewer percentages of error than, enhanced BBO is more efficient than BBO but in some case, enhanced BBO need to adjust the value of some parameters to achieve the optimum results.