Julian Scott Yeomans

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A comment on "A simple sequencing algorithm for mixed-model assembly lines in just-in-time production systems"

Julian Scott Yeomans, 1994, Oper. Res. Lett..

Stochastic Decision-Making in Waste Management Using a Firefly Algorithm-Driven Simulation-Optimization Approach for Generating Alternatives

Xin-She Yang, Julian Scott Yeomans, Raha Imanirad, 2016 .

A Parametric Testing Of The Firefly Algorithm In The Determination Of The Optimal Osmotic Drying Parameters Of Mushrooms

Julian Scott Yeomans, 2014, J. Artif. Intell. Soft Comput. Res..

Solid waste planning under uncertainty using evolutionary simulation-optimization

Julian Scott Yeomans, 2007 .

Automatic generation of efficient policy alternatives via simulation-optimization

Julian Scott Yeomans, J. Yeomans, 2002, J. Oper. Res. Soc..

A Simulation-Optimization Algorithm for Generating Sets of Alternatives Using Population-Based Metaheuristic Procedures

Julian Scott Yeomans, J. Yeomans, 2019, Journal of Software Engineering and Simulation.

An Evolutionary Grey, Hop, Skip, and Jump Approach: Generating Alternative Policies for the Expansion of Waste Management

Julian Scott Yeomans, and G. H. Huang, 2003 .

A Nature-Inspired Metaheuristic Approach for Generating Alternatives

Julian Scott Yeomans, J. Yeomans, 2019, Advanced Methodologies and Technologies in Business Operations and Management.

An Efficient Computational Procedure for Simultaneously Generating Alternatives to an Optimal Solution Using the Firefly Algorithm

Julian Scott Yeomans, J. Yeomans, 2018 .

A decision support system for benchmarking the energy and waste performance of schools in Toronto

Julian Scott Yeomans, J. Yeomans, 2012, Environmental Systems Research.

Solving “Einstein's Riddle” Using Spreadsheet Optimization

Julian Scott Yeomans, 2003 .

True global optimality of the pressure vessel design problem: a benchmark for bio-inspired optimisation algorithms

Xin-She Yang, Julian Scott Yeomans, Raha Imanirad, 2013, Int. J. Bio Inspired Comput..

Supply planning for industrial ecology and remanufacturing under uncertainty: a numerical study of leaded-waste recovery from television disposal

Julian Scott Yeomans, Jonathan D. Linton, Reena Yoogalingam, 2002, J. Oper. Res. Soc..

Applications of Information Technology Techniques for Water Resources Planning Under Uncertainty

Julian Scott Yeomans, 2010 .

Bio-Inspired Modelling to Generate Alternatives

Julian Scott Yeomans, Raha Imanirad, Raha Imanirad, 2014 .

Efficient generation of alternative perspectives in public environmental policy formulation: applying co-evolutionary simulation–optimization to municipal solid waste management

Julian Scott Yeomans, J. Yeomans, 2011, Central Eur. J. Oper. Res..

A Computational Algorithm for Simultaneously Creating Alternatives to Optimal Solutions

Julian Scott Yeomans, 2017 .

An Algorithm for Generating Sets of Maximally Different Alternatives Using Population-Based Metaheuristic Procedures

Julian Scott Yeomans, J. Yeomans, 2018, Transactions on Machine Learning and Artificial Intelligence.

Environmental decision-making under uncertainty using a biologically-inspired simulation-optimisation algorithm for generating alternative perspectives

Xin-She Yang, Julian Scott Yeomans, Raha Imanirad, 2016 .

Co-evolutionary simulation-driven optimization for generating alternatives in waste management facility expansion planning

Julian Scott Yeomans, J. Yeomans, 2012, J. Comput. Methods Sci. Eng..

Waste management facility expansion planning using Simulation-Optimisation with Grey Programming and penalty functions

Julian Scott Yeomans, J. Yeomans, 2012 .

Modelling to generate alternatives in waste management facility expansion planning via simulation-optimization

Julian Scott Yeomans, Raha Imanirad, 2012 .

Policy Planning Using Genetic Algorithms Combined with Simulation: The Case of Municipal Solid Waste

Julian Scott Yeomans, Jonathan D. Linton, Reena Yoogalingam, 2002 .

Water Resources Management Decision-Making Under Stochastic Uncertainty Using a Firefly Algorithm-Driven Simulation-Optimization Approach for Generating Alternatives

Julian Scott Yeomans, J. Yeomans, 2016, Intelligence Systems in Environmental Management.

A Bicriterion Approach for Generating Alternatives using Population-based Algorithms

Julian Scott Yeomans, 2019 .

A Stochastic Multicriteria Algorithm for Generating Waste Management Facility Expansion Alternatives

Julian Scott Yeomans, J. Yeomans, 2019 .

Combining Non-Subjective Quantitative Techniques with Qualitative Visual Approaches in the Assessment of Large Portfolios of R&D Projects

Julian Scott Yeomans, 2006 .

Materials recycling and industrial ecology

Julian Scott Yeomans, Jonathan Linton, J. Linton, 2004, Nature materials.

Is Legislation Enforcing Materials Recovery, Remanufacturing, and Industrial Ecology in the Electronics Industry Sustainable?

Julian Scott Yeomans, 2006 .

Optimal level schedules for mixed-model, multi-level just-in-time assembly systems

Wieslaw Kubiak, Julian Scott Yeomans, George Steiner, 1997, Ann. Oper. Res..

Combining Simulation with Evolutionary Algorithms for Optimal Planning Under Uncertainty: An Application to Municipal Solid Waste Management Planning in the Reginonal Municipality of Hamilton-Wentworth

Guohe Huang, Julian Scott Yeomans, R. Yoogalingam, 2003 .

A Stochastic Simulation-Optimization Method for Generating Waste Management Alternatives Using Population-Based Algorithms

Julian Scott Yeomans, 2019 .

Simulation decomposition for environmental sustainability: Enhanced decision-making in carbon footprint analysis

Julian Scott Yeomans, Ivan Deviatkin, Mariia Kozlova, 2021, Socio-Economic Planning Sciences.

An Efficient Modelling to Generate Alternatives Approach for Addressing Unmodelled Issues and Objectives in Public Environmental Planning

Julian Scott Yeomans, Yavuz Günalay, 2011 .

Comparison of the multicriteria decision-making methods for equity portfolio selection: The U.S. evidence

Julian Scott Yeomans, Pasi Luukka, Eero Pätäri, 2018, Eur. J. Oper. Res..

Establishing Optimal Dehydration Process Parameters for Papaya By EmployingA Firefly Algorithm, Goal Programming Approach

Julian Scott Yeomans, 2014 .

Policy planning under uncertainty: efficient starting populations for simulation-optimization methods applied to municipal solid waste management.

Gordon H. Huang, Julian Scott Yeomans, Reena Yoogalingam, 2005, Journal of environmental management.

A Biologically-Inspired Metaheuristic Approach for the Simultaneous Generation of Alternatives

Julian Scott Yeomans, J. Yeomans, 2018 .

Modelling to Generate Alternative Policies in Highly Uncertain Environments: An Application to Municipal Solid Waste Management Planning

Guohe Huang, Julian Scott Yeomans, Yavuz Gunalay, 2015 .

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 Günalay, J. Yeomans, 2013, Int. J. Oper. Res. Inf. Syst..

Alternative Generation in Complex Decision Modelling Using a Firefly Algorithm Metaheuristic Approach

Julian Scott Yeomans, J. Yeomans, 2020 .

Modeling to Generate Alternatives Using Biologically Inspired Algorithms

Julian Scott Yeomans, Raha Imanirad, Raha Imanirad, 2013 .

Computing Optimal Food Drying Parameters Using the Firefly Algorithm

Julian Scott Yeomans, 2014 .

A parametric testing of the Firefly algorithm in the determination of the optimal osmotic drying parameters for papaya

Julian Scott Yeomans, Raha Imanirad, 2014, 2014 IEEE Symposium on Swarm Intelligence.

A Stochastic Bicriteria Procedure for Creating System Options

Julian Scott Yeomans, J. Yeomans, 2019 .

A Computational Analysis Of Balanced Jit Optimization Algorithms

Wieslaw Kubiak, Julian Scott Yeomans, Mikhail Y. Kovalyov, 2001 .

Simultaneous Modelling-to-Generate-Alternatives Procedure Employing the Firefly Algorithm

Julian Scott Yeomans, J. Yeomans, 2019, Technological Innovations in Knowledge Management and Decision Support.

Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce

Julian Scott Yeomans, Raha Imanirad, 2015, Recent Advances in Swarm Intelligence and Evolutionary Computation.

An Innovative Modelling and Decision-Support Approach for Evaluating Urban Transshipment Problems Using Electrical Trucks

Julian Scott Yeomans, Yavuz Gunalay, Y. Gunalay, 2020 .

Monte Carlo Enhancement via Simulation Decomposition: A "Must-Have" Inclusion for Many Disciplines

Julian Scott Yeomans, Mariia Kozlova, J. Yeomans, 2020, INFORMS Trans. Educ..

A Performance Evaluation and Benchmarking Support System for Comparing the Waste and Energy Usage of Schools in Toronto

Julian Scott Yeomans, 2006 .

A Metaheuristic Procedure for Calculating Optimal Osmotic Dehydration Parameters: A Case Study of Mushrooms

Julian Scott Yeomans, 2017 .

An Evolutionary Firefly Algorithm, Goal Programming Optimization Approach for Setting the Osmotic Dehydration Parameters of Papaya

Ting Cao, Julian Scott Yeomans, 2017 .

A computationally efficient modelling-to-generate-alternatives method using the firefly algorithm

Julian Scott Yeomans, Raha Imanirad, 2012 .

Applications of Simulation-Optimization Methods in Environmental Policy Planning under Uncertainty

Julian Scott Yeomans, 2008 .

Municipal waste management optimisation using a firefly algorithm-driven simulation-optimisation approach

Xin-She Yang, Julian Scott Yeomans, Xin-She Yang, 2014 .

An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty

Guo H. Huang, Julian Scott Yeomans, Imran Maqsood, 2005, Eur. J. Oper. Res..

Enabling Industrial Ecology through the Forecasting of Durable Goods Disposal: Televisions as an Exemplar Case Study

Julian Scott Yeomans, Jonathan D. Linton, Reena Yoogalingam, 2009 .

Improved Policies for Solid Waste Management in the Municipality of Hamilton‐Wentworth, Ontario

Julian Scott Yeomans, 2009 .

The challenge of hazardous waste management in a sustainable environment: insights from electronic recovery laws

Julian Scott Yeomans, Jonathan D. Linton, Reena Yoogalingam, 2005 .

Modelling-to-generate-alternatives via the firefly algorithm

Xin-She Yang, Julian Scott Yeomans, Raha Imanirad, 2014 .

Methods for addressing climate change uncertainties in project environmental impact assessments

Julian Scott Yeomans, Philip H. Byer, J. Yeomans, 2007 .

A linear time algorithm for maximum matchings in convex, bipartite graphs☆

Julian Scott Yeomans, George Steiner, G. Steiner, 1996 .