Results 91 to 100 of about 5,473,828 (218)

Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction

International Transactions in Operational Research, Volume 34, Issue 1, Page 429-459, January 2027.
Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer, Ahmet Cürebal, Leonard Heilig, Stefan Voß   +3 more
wiley   +1 more source

Optimize Unrelated Parallel Machines Scheduling Problems With Multiple Limited Additional Resources, Sequence-Dependent Setup Times and Release Date Constraints

IEEE Access, 2019
This paper considers the problem of scheduling a set of jobs on unrelated parallel machines subject to several constraints which are non-zero arbitrary release dates, limited additional resources, and non-anticipatory sequence-dependent setup times.
Ibrahim M. Al-harkan, Ammar A. Qamhan
doaj   +1 more source

A genetic algorithm simheuristic for solving the stochastic project portfolio selection problem with portfolio reliability constraints

International Transactions in Operational Research, Volume 33, Issue 6, Page 4039-4071, November 2026.
Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz, David Lopez‐Lopez, Laura Calvet, Angel A. Juan   +3 more
wiley   +1 more source

Scalable Parallel Verification of Quantized Neural Networks via MIQCP Optimization Encoding

IEEE Access
Quantized Neural Networks are widely used in safety-critical systems due to their efficiency, yet they remain vulnerable to adversarial perturbations. Existing verification approaches based on the Big- $M$ Mixed-Integer Linear Programming (MILP) suffer ...
Shifu Yang, Wuyang Yang
doaj   +1 more source

A formulation and a metaheuristic approach for the clustered vehicle routing problem with d‐relaxed priority rule

International Transactions in Operational Research, Volume 33, Issue 6, Page 3714-3743, November 2026.
Abstract This paper investigates an extension of the vehicle routing problem in which, in addition to minimizing the distance traveled, the sequencing of customer visits is subject to precedence constraints that impose visiting priorities among customers.
Eduardo dos Santos Teixeira, Silvio Alexandre de Araujo   +1 more
wiley   +1 more source

Scheduling optimization of optical lens polishing

International Transactions in Operational Research, Volume 33, Issue 6, Page 3744-3768, November 2026.
Abstract Optical systems have achieved notable progress in focusing and imaging technologies; however, manual grinding remains indispensable, resulting in elevated costs, extended timelines, and inefficiencies. These difficulties are compounded by operational constraints, uneven machine utilization, and risks of order delays and escalating expenses ...
Tzu‐Chin Lin, Bertrand M. T. Lin
wiley   +1 more source

FATCOP 2.0: Advanced Features in an Opportunistic Mixed Integer Programming Solver [PDF]

, 2000
We describe FATCOP 2.0, a new parallel mixed integer program solver that works in an opportunistic computing environment provided by the Condor resource management system.
Linderoth, Jeff, Chen, Qun, Ferris, Michael   +2 more
core  

Distributed optimization for mixed integer linear programming on unbalanced directed graphs with row stochasticity

SICE Journal of Control, Measurement, and System Integration
This paper investigates a distributed optimization approach for solving mixed integer linear programming (MILP) problems with a coupling constraint over unbalanced directed networks.
Gakuto Ogawa, Naoki Hayashi, Masahiro Inuiguchi   +2 more
doaj   +1 more source

Ensuring connectedness for the maximum quasi‐clique and densest k‐subgraph problems

International Transactions in Operational Research, Volume 33, Issue 6, Page 3800-3824, November 2026.
Abstract Given an undirected graph G$G$, a quasi‐clique is a subgraph of G$G$ with density at least γ$\gamma$ (0<γ≤1)$(0 < \gamma \le 1)$. Two optimisation problems can be defined for quasi‐cliques: the maximum quasi‐clique (MQC) problem, which finds a quasi‐clique with maximum vertex cardinality, and the densest k$k$‐subgraph (DKS) problem, which ...
Daniela Scherer dos Santos, Kathrin Klamroth, Pedro Martins, Luís Paquete   +3 more
wiley   +1 more source

Energy Flexibilization and Demand Response for a Novel Decentralized Power‐to‐Methanol Process

Chemie Ingenieur Technik, Volume 98, Issue 10, Page 615-629, October 2026.
This study presents the results of an optimization framework for the scheduling of a Power‐to‐methanol process coupled with an electrolyser, renewable energy sources and a battery. The optimal dynamic operating schedule is computed with different configurations and boundary conditions, showing the advantages of flexible operation.
Max Kollmer, Markus Vogelbacher, Mücahit Terzi, Mohit Singh, Francsico Vidal‐Vazquez, Jörg Matthes   +5 more
wiley   +1 more source