Julian Scott Yeomans

Julian Scott Yeomans is a Professor in the Operations Management and Information Systems Area at the Schulich School of Business at York University, Toronto. He holds graduate degrees in Management Science & Information Systems from McMaster University and in Environmental Engineering from the University of Toronto together with undergraduate degrees in Mathematics and in Business from the University of Regina.

Publications

A Computational Comparison of Three Nature-Inspired, Population-Based Metaheuristic Algorithms for Modelling-to-Generate Alternatives
A Computational Comparison of Three Nature-Inspired, Population-Based Metaheuristic Algorithms for Modelling-to-Generate Alternatives
Julian Scott Yeomans. © 2023. 20 pages.
In “real life” decision-making situations, inevitably, there are numerous unmodelled components, not incorporated into the underlying mathematical programming models, that hold...
Alternative Generation in Complex Decision Modelling Using a Firefly Algorithm Metaheuristic Approach
Alternative Generation in Complex Decision Modelling Using a Firefly Algorithm Metaheuristic Approach
Julian Scott Yeomans. © 2020. 12 pages.
Decision-making in the “real world” can become dominated by inconsistent performance requirements and incompatible specifications that can be difficult to detect when supporting...
An Innovative Modelling and Decision-Support Approach for Evaluating Urban Transshipment Problems Using Electrical Trucks
An Innovative Modelling and Decision-Support Approach for Evaluating Urban Transshipment Problems Using Electrical Trucks
Yavuz Gunalay, Julian Scott Yeomans. © 2020. 19 pages.
As a consequence of urban intensification, logistics planning becomes more important than ever. Electric vehicles have proved to be both environmentally friendly and a lower-cost...
Simultaneous Modelling-to-Generate-Alternatives Procedure Employing the Firefly Algorithm
Simultaneous Modelling-to-Generate-Alternatives Procedure Employing the Firefly Algorithm
Julian Scott Yeomans. © 2019. 15 pages.
“Real-world” decision-making applications generally contain multifaceted performance requirements riddled with incongruent performance specifications. This is because decision...
A Nature-Inspired Metaheuristic Approach for Generating Alternatives
A Nature-Inspired Metaheuristic Approach for Generating Alternatives
Julian Scott Yeomans. © 2019. 12 pages.
“Real-world” decision making often involves complex problems that are riddled with incompatible and inconsistent performance objectives. These problems typically possess...
A Nature-Inspired Metaheuristic Approach for Generating Alternatives
A Nature-Inspired Metaheuristic Approach for Generating Alternatives
Julian Scott Yeomans. © 2018. 10 pages.
“Real world” decision-making often involves complex problems that are riddled with incompatible and inconsistent performance objectives. These problems typically possess...
A Biologically-Inspired Metaheuristic Approach for the Simultaneous Generation of Alternatives
A Biologically-Inspired Metaheuristic Approach for the Simultaneous Generation of Alternatives
Julian Scott Yeomans. © 2018. 12 pages.
Decision-making in the “real world” involves complex problems that tend to be riddled with competing performance objectives and possess requirements which are very difficult to...
Bio-Inspired Modelling to Generate Alternatives
Bio-Inspired Modelling to Generate Alternatives
Raha Imanirad, Julian Scott Yeomans. © 2014. 11 pages.
“Real world” decision-making often involves complex problems that are riddled with incompatible and inconsistent performance objectives. These problems typically possess...
Generating Alternatives Using Simulation-Optimization Combined with Niching Operators to Address Unmodelled Objectives in a Waste Management Facility Expansion Planning Case
Generating Alternatives Using Simulation-Optimization Combined with Niching Operators to Address Unmodelled Objectives in a Waste Management Facility Expansion Planning Case
Julian Scott Yeomans, Yavuz Gunalay. © 2013. 19 pages.
Public sector decision-making typically involves complex problems that are riddled with incompatible performance objectives and possess competing design requirements which are...
A Concurrent Modelling to Generate Alternatives Approach Using the Firefly Algorithm
A Concurrent Modelling to Generate Alternatives Approach Using the Firefly Algorithm
Raha Imanirad, Xin-She Yang, Julian Scott Yeomans. © 2013. 13 pages.
Real world” decision-making applications generally contain multifaceted performance requirements riddled with incongruent performance specifications. There are invariably...