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Gas Transport Network Optimization: PDE-Constrained Models
The optimal control of gas transport networks was and still is a very important topic for modern economies and societies. Accordingly, a lot of...
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Scalable branching on dual decomposition of stochastic mixed-integer programming problems
We present a scalable branching method for the dual decomposition of stochastic mixed-integer programming. Our new branching method is based on the...
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Mixed Integer Linear Programming for a Real-World Parallel Machine Scheduling Problem with Workforce and Precedence Constraints
In this work, we consider a real-world scheduling problem occurring in the engineering test laboratory of a multinational company producing hydraulic...
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Optimizing SONAR System Reliability Through RRAP: A Novel Approach Using Opposition Based Levy Flight Moth Flame Optimization
Reliability-redundancy allocation problem (RRAP) is a complex problem in the reliability optimization area which aims to find the best structure with...
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Global optimization via optimal decision trees
The global optimization literature places large emphasis on reducing intractable optimization problems into more tractable structured optimization...
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A decomposition method for distributionally-robust two-stage stochastic mixed-integer conic programs
We develop a decomposition algorithm for distributionally-robust two-stage stochastic mixed-integer convex conic programs, and its important special...
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Exact Vertex Migration Model of Graph Partitioning Based on Mixed 0–1 Linear Programming and Iteration Algorithm
Graph partitioning problem is a classical NP-hard problem. The improvement of graph partitioning results by vertex migration is an important class of...
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Computational Stochastic Programming Models, Algorithms, and Implementation
This book provides a foundation in stochastic, linear, and mixed-integer programming algorithms with a focus on practical computer algorithm...
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A Quantum Computing Based Numerical Method for Solving Mixed-Integer Optimal Control Problems
Mixed-integer optimal control problems (MIOCPs) usually play important roles in many real-world engineering applications. However, the MIOCP is a...
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Optimizing Reliability in Total Artificial Heart Design Through Redundancy Strategies and Swarm-Inspired Optimization
With noticeable advancements in medical technology, the seemingly impossible procedures have now come to practical implementation. Artificial Heart...
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Optimal Planning of Waste Sorting Operations Through Mixed Integer Linear Programming
Circular economy imposes a new view of operations with the aim of zero waste. To obtain this result it is critical to adopt an holistic approach and...
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Optimization over decision trees: a case study for the design of stable direct-current electricity networks
In many real-world mixed-integer optimization problems from engineering, the side constraints can be subdivided into two categories: constraints...
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Long-term maintenance optimization for integrated mining operations
Maintenance activities are inevitable and costly in integrated mining operations. Conducting maintenance may require the whole system, or sub-units...
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Moment-based distributionally robust joint chance constrained optimization for service network design under demand uncertainty
This paper proposes a distributionally robust joint chance constrained (DRJCC) programming approach to optimize the service network design (SND)...
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MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library
We report on the selection process leading to the sixth version of the Mixed Integer Programming Library, MIPLIB 2017. Selected from an initial pool...
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A branch and bound algorithm for robust binary optimization with budget uncertainty
Since its introduction in the early 2000s, robust optimization with budget uncertainty has received a lot of attention. This is due to the intuitive...
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A New Portfolio Optimization Model Under Tracking-Error Constraint with Linear Uncertainty Distributions
Enhanced index tracking problem is the issue of selecting a tracking portfolio to outperform the benchmark return with a minimum tracking error. In...
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Computational aspects of infeasibility analysis in mixed integer programming
The analysis of infeasible subproblems plays an important role in solving mixed integer programs (MIPs) and is implemented in most major MIP solvers....
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Polyhedral approximation strategies for nonconvex mixed-integer nonlinear programming in SHOT
Different versions of polyhedral outer approximation are used by many algorithms for mixed-integer nonlinear programming (MINLP). While it has been...
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On mixed-integer optimal control with constrained total variation of the integer control
The combinatorial integral approximation (CIA) decomposition suggests solving mixed-integer optimal control problems by solving one continuous...
