A two-stage anaerobic digestion (AD) process has been applied to improve the efficiency of methane production from various organic materials. However, performance traditional controllers may be limited by differences in rate biochemical reactions, uncertainties, and consequences interconnection between two bioreactors. In this work, a nonlinear optimization-based control strategy that applies a...

Drought directly affects environmental sustainability. Predicting the drought at earliest opportunity will help to execute mitigation plans. Several indices are used predict severity of across different geographical regions. The two main in India for meteorological standardized precipitation index (SPI) and evapotranspiration (SPEI). This work is a study find ability above mentioned state Tamil...

In this study, to enhance the optimization process, especially in the structural engineering field two well-known algorithms are merged together in order to achieve an improved hybrid algorithm. These two algorithms are Teaching-Learning Based Optimization (TLBO) and Harmony Search (HS) which have been used by most researchers in varied fields of science. The hybridized algorithm is called A Di...

Abstract Real-world optimization applications in complex systems always contain multiple factors to be optimized, which can formulated as multi-objective problems. These problems have been solved by many evolutionary algorithms like MOEA/D, NSGA-III, and KnEA. However, when the numbers of decision variables objectives increase, computation costs those mentioned will unaffordable. To reduce such...