Embedding Ordinal Optimization into Tree–Seed Algorithm for Solving the Probabilistic Constrained Simulation Optimization Problems

Embedding Ordinal Optimization into Tree–Seed Algorithm for Solving the Probabilistic Constrained Simulation Optimization Problems

Probabilistic constrained simulation optimization problems (PCSOP) are concerned with allocating limited resources to achieve a stochastic objective function subject to a probabilistic inequality constraint. The PCSOP are NP-hard problems whose goal is to find optimal solutions using simulation in a...

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Bibliographic Details
Main Authors: Shih-Cheng Horng, Shieh-Shing Lin
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Applied Sciences
Subjects:
probabilistic constrained simulation
ordinal optimization
improved tree–seed algorithm
regularized minimal-energy tensor-product splines
incremental optimal computing budget allocation
pull-type production system
Online Access:https://www.mdpi.com/2076-3417/8/11/2153

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https://www.mdpi.com/2076-3417/8/11/2153

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