Julian Scott Yeomans - researchr alias

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Viewing Publication 1 - 17 from 17

2024

Uncovering heterogeneous effects in computational models for sustainable decision-makingMariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers. envsoft, 171:105898, January 2024. [doi]

2023

A Computational Comparison of Three Nature-Inspired, Population-Based Metaheuristic Algorithms for Modelling-to-Generate AlternativesJulian Scott Yeomans. ijoris, 14(1):1-20, April 2023. [doi]

2022

Monte Carlo Enhancement via Simulation Decomposition: A "Must-Have" Inclusion for Many DisciplinesMariia Kozlova, Julian Scott Yeomans. ited, 22(3):147-159, 2022. [doi]

2018

Comparison of the multicriteria decision-making methods for equity portfolio selection: The U.S. evidenceEero Pätäri, Ville Karell, Pasi Luukka, Julian Scott Yeomans. eor, 265(2):655-672, 2018. [doi]

2016

Water Resources Management Decision-Making Under Stochastic Uncertainty Using a Firefly Algorithm-Driven Simulation-Optimization Approach for Generating AlternativesJulian Scott Yeomans. In Cengiz Kahraman, Irem Uçal Sari, editors, Intelligence Systems in Environmental Management: Theory and Applications. Volume 113 of Intelligent Systems Reference Library, pages 207-229, Springer, 2016. [doi]

2015

Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of ProduceRaha Imanirad, Julian Scott Yeomans. In Xin-She Yang, editor, Recent Advances in Swarm Intelligence and Evolutionary Computation. Volume 585 of Studies in Computational Intelligence, pages 49-69, Springer, 2015. [doi]

2014

A Parametric Testing Of The Firefly Algorithm In The Determination Of The Optimal Osmotic Drying Parameters Of MushroomsJulian Scott Yeomans. jaiscr, 4(4):257-266, 2014. [doi]

A parametric testing of the Firefly algorithm in the determination of the optimal osmotic drying parameters for papayaJulian Scott Yeomans, Raha Imanirad. kit 2014: 14-19 [doi]

2013

A Concurrent Modelling to Generate Alternatives Approach Using the Firefly AlgorithmRaha Imanirad, Xin-She Yang, Julian Scott Yeomans. ijdsst, 5(2):33-45, 2013. [doi]

Generating Alternatives Using Simulation-Optimization Combined with Niching Operators to Address Unmodelled Objectives in a Waste Management Facility Expansion Planning CaseJulian Scott Yeomans, Yavuz Günalay. ijoris, 4(2):50-68, 2013. [doi]

2012

Co-evolutionary simulation-driven optimization for generating alternatives in waste management facility expansion planningJulian Scott Yeomans. jcmse, 12(1-2):111-127, 2012. [doi]

2011

Efficient generation of alternative perspectives in public environmental policy formulation: applying co-evolutionary simulation-optimization to municipal solid waste managementJulian Scott Yeomans. cejor, 19(4):391-413, 2011. [doi]

2005

An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertaintyImran Maqsood, Guo H. Huang, Julian Scott Yeomans. eor, 167(1):208-225, 2005. [doi]

2002

Supply planning for industrial ecology and remanufacturing under uncertainty: a numerical study of leaded-waste recovery from television disposalJonathan D. Linton, Julian Scott Yeomans, Reena Yoogalingam. jors, 53(11):1185-1196, 2002. [doi]

Automatic generation of efficient policy alternatives via simulation-optimizationJulian Scott Yeomans. jors, 53(11):1256-1267, 2002. [doi]

1997

Optimal level schedules for mixed-model, multi-level just-in-time assembly systemsWieslaw Kubiak, George Steiner, Julian Scott Yeomans. anor, 69:241-259, 1997. [doi]

1994

A comment on "A simple sequencing algorithm for mixed-model assembly lines in just-in-time production systems"Julian Scott Yeomans. orl, 16(5):299-301, 1994. [doi]

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