Results 71 to 80 of about 2,786 (188)

Exact and metaheuristic approaches to minimizing makespan in parallel machine scheduling with conflicting jobs

International Transactions in Operational Research, EarlyView.
Abstract We address the scheduling conflicting jobs on parallel identical machines problem with makespan minimization, a classical and computationally challenging variant of parallel machine scheduling. We develop and evaluate three distinct solution methodologies: a novel constraint programming (CP) formulation, and two metaheuristics: a multi ...
Roberto Maria Rosati, Dinh Quy Ta, Minh Hoàng Hà, Andrea Schaerf   +3 more
wiley   +1 more source

Optimasi Perencanaan Operasi Pembangkit Listrik Berbasis Mixed Integer Linear Programming (MILP) Pada Sistem Isolated Selayar

INTECOMS: Journal of Information Technology and Computer Science
This study explores the integration of fossil and renewable energy generators on Selayar Island, focusing on optimizing Diesel Power Plants (PLTD) and Solar Power Plants (PLTS). Using Mixed-Integer Linear Programming (MILP) for generator scheduling, simulations reveal that a 15% rotational backup constraint positively impacts operational costs and ...
I Made Yulistya Negara, Rony Seto Wibowo, Agung Wicaksono   +2 more
openaire   +1 more source

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

International Transactions in Operational Research, EarlyView.
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

An Energy-Efficient Timetable Optimization Approach in a Bi-DirectionUrban Rail Transit Line: A Mixed-Integer Linear Programming Model

Energies, 2019
The quick growth of energy consumption in urban rail transit has drawn much attention due to the pressure of both operational cost and environmental responsibilities. In this paper, the timetable is optimized with respect to the system cost of urban rail
Huanhuan Lv, Yuzhao Zhang, Kang Huang, Xiaotong Yu, Jianjun Wu   +4 more
doaj   +1 more source

Enhancing pharmaceutical cold supply chain: integrating medication synchronization and diverse delivery modes

International Transactions in Operational Research, Volume 33, Issue 3, Page 2082-2118, May 2026.
Abstract The significance of last‐mile logistics in the healthcare supply chain is growing steadily, especially in pharmacies where the growing prevalence of medication delivery to patients' homes is remarkable. This paper proposes a novel mathematical model for the last‐mile logistics of the pharmaceutical supply chain and optimizes a pharmacy's ...
Elise Potters, Behzad Mosalla Nezhad, Victor Johan Bernard, Erwin Hans, Amin Asadi   +4 more
wiley   +1 more source

Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming

Leveraging machine learning (ML) to predict an initial solution for mixed-integer linear programming (MILP) has gained considerable popularity in recent years. These methods predict a solution and fix a subset of variables to reduce the problem dimension. Then, they solve the reduced problem to obtain the final solutions.
Liu, Haoyang, Wang, Jie, Geng, Zijie, Li, Xijun, Zong, Yuxuan, Zhu, Fangzhou, Hao, Jianye, Wu, Feng   +7 more
openaire   +2 more sources

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

AIChE Journal, Volume 72, Issue 4, April 2026.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana, Sreekanth Rajagopalan, Satyajith Amaran, Qi Zhang   +3 more
wiley   +1 more source

Systematic Literature Review for Robust Mixed-Integer Linear Programming Models Using Benders Decomposition in Facility Location Problems

Cauchy: Jurnal Matematika Murni dan Aplikasi
The robust Mixed-Integer Linear Programming (MILP) model is an approach to address uncertainty in linear optimization involving integer and continuous variables, which can be solved using the Benders Decomposition method.
Fadiah Hasna Nadiatul Haq, Diah Chaerani, Anita Triska   +2 more
doaj   +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

Multi-Objectives, Multi-Period Optimization of district heating networks Using Evolutionary Algorithms and Mixed Integer Linear Programming (MILP) [PDF]

, 2012
Abstract A systematic procedure, including process design and integration techniques for sizing and operation optimization of a poly-generation plant and design of a district heating network is presented in this paper. In the developed model a simultaneous multi objectives and multi-period optimization are principally investigated.
Samira Fazlollahi, Stephan Laurent Bungener, Gwenaelle Becker, François Maréchal   +3 more
openaire   +1 more source