J. Christopher Beck mainly focuses on Mathematical optimization, Scheduling, Job shop scheduling, Dynamic priority scheduling and Flow shop scheduling. J. Christopher Beck undertakes interdisciplinary study in the fields of Mathematical optimization and Constraint programming through his works. His biological study spans a wide range of topics, including Dynamic problem, Null-move heuristic, Heuristic, Artificial intelligence and Machine learning.
In his study, Operations research is strongly linked to Principal, which falls under the umbrella field of Artificial intelligence. His study focuses on the intersection of Job shop scheduling and fields such as Algorithm with connections in the field of Machine scheduling, Minification, Benders' decomposition and Solver. His Flow shop scheduling research includes themes of Rate-monotonic scheduling and Fair-share scheduling.
His primary areas of investigation include Mathematical optimization, Constraint programming, Scheduling, Job shop scheduling and Constraint satisfaction. As a part of the same scientific family, J. Christopher Beck mostly works in the field of Mathematical optimization, focusing on Dynamic priority scheduling and, on occasion, Fair-share scheduling. His studies deal with areas such as Machine learning, Vehicle routing problem, Real-time computing and Distributed computing as well as Scheduling.
His work carried out in the field of Job shop scheduling brings together such families of science as Algorithm and Theoretical computer science. In the field of Constraint satisfaction, his study on Constraint logic programming, Concurrent constraint logic programming and Constraint learning overlaps with subjects such as Reactive programming. He works mostly in the field of Scheduling, limiting it down to topics relating to Operations research and, in certain cases, Artificial intelligence, as a part of the same area of interest.
His scientific interests lie mostly in Constraint programming, Mathematical optimization, Linear programming, Integer programming and Algorithm. His Mathematical optimization research incorporates themes from Distributed computing, Vehicle routing problem, Scheduling and Mobile robot. J. Christopher Beck has researched Scheduling in several fields, including Resource allocation, Queueing theory and Data mining.
His Linear programming research incorporates elements of Heuristics, Graph, Binary decision diagram and Distance minimization. His studies in Integer programming integrate themes in fields like Surgery scheduling, Discrete optimization, Job shop scheduling and Pattern recognition. The Algorithm study combines topics in areas such as Variable and Encoding.
J. Christopher Beck spends much of his time researching Constraint programming, Mathematical optimization, Scheduling, Quantum computer and Quantum circuit. His Constraint programming study spans across into areas like Integer programming, Land use, Project planning, Artificial neural network and Set. His research integrates issues of Space, Transportation theory, Vehicle routing problem, Decomposition and Heuristic in his study of Integer programming.
His Optimization problem, Multi-objective optimization and Genetic algorithm study in the realm of Mathematical optimization interacts with subjects such as Noise and Context. He combines subjects such as Queueing theory and Resource allocation with his study of Scheduling. His Quantum computer study combines topics in areas such as Quantum algorithm, Theoretical computer science, Class, Satisficing and Time horizon.
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Slack-Based Techniques for Robust Schedules
Andrew J. Davenport;Christophe Gefflot;J. Christopher Beck.
Sixth European Conference on Planning (2014)
Problem difficulty for tabu search in job-shop scheduling
Jean-Paul Watson;J. Christopher Beck;Adele E. Howe;L. Darrell Whitley.
Artificial Intelligence (2003)
Mixed Integer Programming models for job shop scheduling
Wen-Yang Ku;J. Christopher Beck.
Computers & Operations Research (2016)
Improved non-deterministic planning by exploiting state relevance
Christian Muise;Sheila A. McIlraith;J. Christopher Beck.
international conference on automated planning and scheduling (2012)
Dsharp: fast d-DNNF compilation with sharpSAT
Christian Muise;Sheila A. McIlraith;J. Christopher Beck;Eric I. Hsu.
canadian conference on artificial intelligence (2012)
A theoretic and practical framework for scheduling in a stochastic environment
Julien Bidot;Thierry Vidal;Philippe Laborie;J. Christopher Beck.
Journal of Scheduling (2009)
Vehicle routing and job shop scheduling: what's the difference?
J. Christopher Beck;Patrick Prosser;Evgeny Selensky.
international conference on automated planning and scheduling (2003)
Constraint-directed techniques for scheduling alternative activities
J. Christopher Beck;Mark S. Fox.
Proactive algorithms for job shop scheduling with probabilistic durations
J. Christopher Beck;Nic Wilson.
Journal of Artificial Intelligence Research (2007)
Texture-based heuristics for scheduling revisited
J. Christopher Beck;Andrew J. Davenport;Edward M. Sitarski;Mark S. Fox.
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