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About Julian Scott Yeomans
Professor Yeomans holds degrees in management science/information systems, environmental engineering, and mathematics. He generally teaches courses on spreadsheet-based decision support systems and VBA programming. He has published 5 books (3 on climate change uncertainties, 2 on production scheduling) and over 125 peer-reviewed, academic journal articles on a diverse spectrum of topics. His current research focuses on simulation-optimization, machine learning, visual analytics, population-based metaheuristics, and modelling-to-generate-alternatives. Recent application areas include environmental informatics, waste management, empirical finance, and the optimal osmotic dehydration of fruits, vegetables, and fungi.
Recent Publications
Selected Research Publications from 2019-2020
‘Visual Analytics in Environmental Decision-Making: A Comparison of Overlay Charts Versus Simulation Decomposition’, Journal of Environmental Informatics Letters, Forthcoming (with M. Kozlova)
‘Monte Carlo Enhancement with Simulation Decomposition: A “Must-Have” for Many Disciplines’, INFORMS Transactions on Education, Forthcoming (with M. Kozlova)
‘Simulation Decomposition for Environmental Sustainability: Enhanced Decision-Making in Carbon Footprint Analysis’, Socio-Economic Planning Sciences, Forthcoming (with I. Deviatkin, M. Kozlova)
‘A Stochastic, Multicriteria, Firefly Algorithm-Based Approach for Waste Management Decision-Making’, Advances in Mathematics Research, 28, 1, 1-27, 2020
‘An Innovative Modelling and Decision-Support Approach for Evaluating Urban Transshipment Problems Using Electrical Trucks’, International Journal of Smart Vehicles and Smart Transportation, 3, 2, 19-37, 2020 (with Y. Gunalay)
‘Alternative Generation in Complex Decision Modelling Using a Firefly Algorithm Metaheuristic Approach’, International Journal of Hyperconnectivity and the Internet of Things, 4, 2, 68-79, 2020
‘An Algorithm for Computing Solutions to the Range Limited Routing Problem Using Electrical Trucks’, WSEAS Transactions on Computers, 19, 7, 47-53, 2020 (with Y. Gunalay)
‘Applying Biologically-Inspired Optimization Approaches to Osmotic Dehydration’, Current Investigations in Agriculture, 7, 5, 1030-1032, 2019
‘Multi-Variable Simulation Decomposition in Environmental Planning: An Application to Carbon Capture and Storage’, Journal of Environmental Informatics Letters, 1, 1, 20-26, 2019 (with M. Kozlova)
‘Waste Management Using Multicriteria Population-Based Simulation-Optimization Algorithms’, Journal of Waste Management and Disposal, 2, 1, 1-8, 2019
‘Water Resource Management Using Population-Based, Dual-Criterion Simulation-Optimization Algorithms to Generate Alternatives’, Journal of Environmental and Earth Sciences, 5, 1, 36-44, 2019
‘A Stochastic Multicriteria Algorithm for Generating Waste Management Facility Expansion Alternatives’ Journal of Civil Engineering, 9, 2, 43-50, 2019
‘Comparison of the Multicriteria Decision-Making Methods for Equity Portfolio Selection: The U.S. Evidence’, European Journal of Operational Research, 265, 2, 655-672, 2019 (with E. Pätäri, V. Karell, P. Luukka)
‘The Dirty Dozen of Valuation Ratios: Is One Better than Another?’, Journal of Investment Management, 16, 2, 65-98, 2019 (with E. Pätäri, V. Karell, P. Luukka)