An objective approach of balanced cricket team selection using binary integer programming method

DOI10.1007/s12597-015-0228-3zbMath1360.90158OpenAlexW1824646647MaRDI QIDQ522373

Dibyojyoti Bhattacharjee, Hemanta Saikia

Publication date: 28 April 2017

Published in: Opsearch (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12597-015-0228-3

zbMATH Keywords

optimizationinteger programmingdecision makingperformance analysiscricketsports

Mathematics Subject Classification ID

Integer programming (90C10) Case-oriented studies in operations research (90B90) Theory of organizations, manpower planning in operations research (90B70)

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Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach ⋮ Optimization of team selection in fantasy cricket: a hybrid approach using recursive feature elimination and genetic algorithm

Cites Work

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• Team formation: Matching quality supply and quality demand.
• A criterion for comparing and selecting batsmen in limited overs cricket
• Space–time memory functions and solution of nonlinear evolution equations
• Towards fairer measures of player performance in one-day cricket

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