Improved opposition-based shuffled frog leaping algorithm for function optimization problems
Senlin Ma · Jisuanji yingyong yanjiu · 2013
Classical shuffled frog leaping algorithm is slow in convergence,and has a low convergent precision to address continuous function optimization problems.To overcome such shortages,this paper presented an improved shuffled frog leaping algorithm which combined the OBL strategy.The proposed approach employed OBL for population initialization and generation jumping to produce populations closer to high-quality solutions.The experiments carried on classic benchmark functions show that it performs significantly better both in terms of convergence speed and solution precision.