Power law-based local search in spider monkey optimisation for lower order system modelling
作者： Ajay Sharma , Harish Sharma , Annapurna Bhargava , Nirmala Sharma
DOI: 10.1080/00207721.2016.1165895
关键词:
摘要: The nature-inspired algorithms NIAs have shown efficiency to solve many complex real-world optimisation problems. of is measured by their ability find adequate results within a reasonable amount time, rather than an guarantee the optimal solution. This paper presents solution for lower order system modelling using spider monkey SMO algorithm obtain better approximation systems and reflects almost original higher system's characteristics. Further, local search strategy, namely, power law-based incorporated with SMO. proposed strategy named as in PLSMO. efficiency, accuracy reliability tested over 20 well-known benchmark functions. Then, PLSMO applied problem.
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