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by
Gong, Jian, author.
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algorithm is developed to solve the multi-level optimization problem that cannot be handled directly by any
by
Papush, nna, author.
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address this challenge using dynamic learning and then improve upon it with robust optimization. We first
by
Aizezikali, Aishajiang, author. (orcid)0000-0002-3275-2333
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Alıntı:
In Chapter Four we develop a hotel revenue management optimization method in an environment where
by
Shukla, Sharabh Ramshiromani, author. (orcid)0000-0002-2841-2897
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is a non-convex optimization problem which is challenging to solve. Increased penetration of
by
Guo, Ge, author. (orcid)0000-0001-8404-2256
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stochastic optimization problem with part availability uncertainty. A risk-averse model is further developed
by
Ghosh, Asish. author.
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systems, optimization, and discrete events and procedures. The diverse range of examples provided in this
by
Denton, Brian T. editor.
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-- Optimization in Healthcare Delivery Modeling: Methods and Applications -- Operating Room Planning and
by
Saxena, Rahul. author.
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, Statistics, and the Information Technology practices for Business Intelligence, Analytics & Optimization
by
Boone, Tonya.
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sustainability-related investment. Chapter 14 develops a non-linear optimization model that addresses the complex
by
Chawal, Ukesh, author.
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computer experiments (DACE) based system design optimization approach. The first stage specifies the design
by
Ananth, Varsha, author.
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problem to consider would be joint optimization of order batching and picker routing along with storage
by
Basdere, Mehmet, author.
Format:
Alıntı:
reaches a most preferred solution of the decision maker (DM) in multiobjective optimization. IWRA is an

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