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In this paper, both model regression and energy efficiency based controller tuning are attempted using the chaotic bat algorithm (CBA). Two sets of plant data, one from an industrial precalciner temperature loop (PTL) and another from a domestic heating ventilation and air conditioning system (HVAC) are considered. Explicit model predictive control is designed. Minimizing the energy consumption (HVAC) and coal feed rate (PTL) by tuning the controllers is attempted. Results indicate that CBA can be successfully deployed in both regression and achieving control objectives as observed from the case studies.<\/jats:p>","DOI":"10.1177\/0142331217701538","type":"journal-article","created":{"date-parts":[[2017,5,3]],"date-time":"2017-05-03T14:02:21Z","timestamp":1493820141000},"page":"2310-2321","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Energy optimization using metaheuristic bat algorithm assisted controller tuning for industrial and residential applications"],"prefix":"10.1177","volume":"40","author":[{"given":"VR","family":"Divyesh","sequence":"first","affiliation":[{"name":"Department of Chemical Engineering, National Institute of Technology, Tiruchirappalli 620015, India"}]},{"given":"Chinmay","family":"Sahu","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, National Institute of Technology, Tiruchirappalli 620015, India"}]},{"given":"Velswamy","family":"Kirubakaran","sequence":"additional","affiliation":[{"name":"Department of Chemical and Materials Engineering, Donadeo Innovation Center for Engineering, University of Alberta, Edmonton, AB, Canada"}]},{"given":"TK","family":"Radhakrishnan","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, National Institute of Technology, Tiruchirappalli 620015, India"}]},{"given":"Muralidharan","family":"Guruprasath","sequence":"additional","affiliation":[{"name":"Smart Opti-Solutions Pvt. 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