Dymond, Antoine Smith DrydenKok, SchalkHeyns, P.S. (Philippus Stephanus)2017-04-242017-03Dymond, AS, Kok, S & Heyns, PS 2017, 'MOTA : a many-objective tuning algorithm specialized for tuning undermultiple objective function evaluation budgets', Evolutionary Computation, vol. 25, no. 1, pp. 113-141.1063-6560 (print)1530-9304 (online)10.1162/EVCO_a_00163http://hdl.handle.net/2263/60014Control parameter studies assist practitioners to select optimization algorithm parameter values which are appropriate for the problem at hand. Parameters values are well-suited to a problem if they result in a search which is effective given that problem’s objective function(s), constraints and termination criteria. Given these considerations a many objective tuning algorithm named MOTA is presented. MOTA is specialized for tuning a stochastic optimization algorithm according to multiple performance measures each over a range of objective function evaluation budgets. MOTA’s specialization consist of four aspects; 1) a tuning problem formulation which consists of both a speed objective and a speed decision variable, 2) a control parameter tuple assessment procedure which utilizes information from a single assessment run’s history to gauge that tuple’s performance at multiple evaluation budgets, 3) a preemptively terminating resampling strategy for handling the noise present when tuning stochastic algorithms, and 4) the use of bi-objective decomposition to assist in many objective optimization. MOTA combines these aspects together with DE operators to search for effective control parameter values. Numerical experiments which consisted of tuning NSGA-II and MOEA/D demonstrate that MOTA is effective at many objective tuning.en© 2017 The MIT PressObjective function evaluation budgetsTuningMany-objective optimizationEngineering, built environment and information technology articles SDG-09SDG-09: Industry, innovation and infrastructureEngineering, built environment and information technology articles SDG-04SDG-04: Quality educationEngineering, built environment and information technology articles SDG-08SDG-08: Decent work and economic growthArticle