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In relational database systems, query optimization is essential for crowd-sourcing systems, which provides declarative query interfaces. Here, a multi-objective query optimization approach using an ant-lion optimizer was employed for declarative crowd-sourcing systems. It generates a query plan for developing a better balance between the latency and cost. The experimental outcome of the proposed methodology was validated on UCI automobile and Amazon Mechanical Turk (AMT) datasets. The proposed methodology saves 30%-40% of cost in crowd-sourcing query optimization compared to the existing methods.<\/jats:p>","DOI":"10.4018\/ijitwe.2019100103","type":"journal-article","created":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T08:38:04Z","timestamp":1565167084000},"page":"50-63","source":"Crossref","is-referenced-by-count":4,"title":["Query Optimization in Crowd-Sourcing Using Multi-Objective Ant Lion Optimizer"],"prefix":"10.4018","volume":"14","author":[{"given":"Deepak","family":"Kumar","sequence":"first","affiliation":[{"name":"Amity University Uttar Pradesh, Noida, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deepti","family":"Mehrotra","sequence":"additional","affiliation":[{"name":"Amity University Uttar Pradesh, Noida, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rohit","family":"Bansal","sequence":"additional","affiliation":[{"name":"Rohit Bansal, Rajiv Gandhi Institute of Petroleum Technology, Amethi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJITWE.2019100103-0","unstructured":"\u00e0 Campo, S., Khan, V.J., Papangelis, K., & Markopoulos, P. 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