Journal Information
Computers & Operations Research
https://www.sciencedirect.com/journal/computers-and-operations-research
Impact Factor:
4.100
Publisher:
Elsevier
ISSN:
0305-0548
Viewed:
7732
Tracked:
2
Call For Papers
Now incorporating Surveys in Operations Research & Management Science

Operations research and computers interact in many scientific fields of vital importance to our society. These include, among others, transportation, economics, investment strategy, inventory control, logistics, safety, reliability, urban planning, and ecology. Computers & Operations Research (COR) provides an international forum for the application of computers and operations research techniques to problems in these and related fields.

The common element in all the scientific areas that this Journal addresses is the need for some optimization methodology for determining viable solutions to problems, using computers and the techniques of operations research. However, it is not only the methodology which is of interest: the applications are of equal importance. The two are mutually supportive, since understanding the application helps one greatly to comprehend the optimization methods used, and vice versa.

This Journal will therefore concern itself with these scientific fields of application, and will be accordingly broad in scope of subject matter. The form, content and language of the articles will take cognizance of this breadth of applications and of the consequent fact that many readers may not be expert in the scientific field to which the computer and operations research techniques are applied by the author.

All full-length research papers must contain original research results, and demonstrate constructive algorithmic complexity and extensive numerical experiments. Numerical illustrations (examples) are not sufficient: the numerical experiments must have a scientific value of their own, particularly with comparisons to other approaches. In addition, the research performed should represent novel and significant work relative to the relevant literature. The use of real-world data is also valued.

(Meta)heuristics (other than well-established algorithms such as evolutionary algorithms or ant colony optimization) must be described in metaphor-free language. This is a way to ensure that they are immediately comparable to existing algorithms. Moreover, this facilitates highlighting the algorithmic contributions to the literature.

Computers & Operations Research now incorporates Surveys in Operations Research and Management Science. COR will therefore also publish state-of-the-art surveys and best practice guides in analytics, operations research, and management science, in a special Surveys section. These reviews of leading research in the field enable educators, researchers and students to obtain an overview of subjects of current interest, as well as important recent developments in established areas. Submissions can focus on theory or applications of OR/MS, and can be of several types, including but not limited to: (i) Results that are considered standards by experts in the community but which have not been documented in textbooks; (ii) Standard results which have been, in some way, streamlined such as, for example, new proof techniques leading to more elegant derivations of known results; (iii) New developments in methodology, or new application areas ('hot topics'). A review should be critical with respect to the existing knowledge and should focus on the computational and algorithmic aspects/developments. For more information on writing a contribution for the Surveys section of COR, please refer to What Makes a Good Survey?

Computers & Operations Research also publishes focused issues on topics of interest related to its editorial mission. Such issues typically contain between six and twelve articles. They are put together within an eighteen-month period under the responsibility of one or several guest editors. Prospective guest editors are encouraged to contact the Editor-in-Chief.

Computers & Operations Research does not endorse works investigating neither warfare optimization problems nor applications involving activities that might cause serious injuries or even death, regardless of the setting (offensive or defensive).

It is the responsibility of the authors to ensure that the submitted manuscripts are written using proper English, that possible grammatical or spelling errors are eliminated and that the text conforms to correct scientific English. Submissions which do not satisfy these criteria may be rejected without being sent to reviewers.
Last updated by Dou Sun in 2024-07-14
Special Issues
Special Issue on Leveraging the Synergy of AI and Optimization Models for Enhanced Problem Solving and Decision-Making
Submission Date: 2024-07-31

Introduction In recent years, both Artificial Intelligence (AI) and Optimization Models have emerged as powerful tools for problem-solving and decision-making across various domains. AI techniques, such as machine learning and natural language processing, have demonstrated their ability to extract patterns and insights from vast amounts of data. Lam et al. (2022), for example, introduced a cutting-edge exact algorithm for Multi Agent Path Finding, a set of combinatorial optimization problems rooted in AI and automated planning. They tackled scenarios where both space and time are discretized by applying the branch-and-cut-and price framework from mathematical optimization. They call for further research in this class of problem.On the other hand, Optimization Models offer systematic approaches to finding the best solutions to complex problems. Recent research indicates a growing necessity to incorporate more resilient analytical models that combine AI and optimization techniques (Doumpos et al., 2023; Gambella et al., 2021). For instance, studies have developed a feature-enhanced genetic programming method for the automatic design of high-quality dispatching rules for customer order scheduling in an offline learning strategy (Shi et al., 2021). As this research area is in its nascent phase, several various avenues and opportunities remain to enhance our comprehension of possibilities across diverse angles, encompassing problem categories, application domains, themes, and methodologies. This Special Issue aims to explore and advance the research on the combination of AI and Optimization Models to harness the complementary strengths of both methodologies and highlight the importance of their integration for achieving superior results in diverse applications Guest editors: Davood Golmohammadi, Ph.D. [Managing Guest Editor] Associate Professor of Management Science and Information Systems College of Management University of Massachusetts Boston davood.golmohammadi@umb.edu Prof. Diego A. de. J. Pacheco, PhD [Guest Editor] Aarhus Business School, DK Aarhus University diego@btech.au.dk Kenneth J Klassen, MBA, PhD, PMP [Guest Editor] Professor of Operations Management Goodman School of Business, Brock University kklassen@brocku.ca Mostafa Zandieh, PhD [Guest Editor] Professor Department of Industrial Management and Information Technology Shahid Beheshti University, G.C., Tehran, Iran m_zandieh@sbu.ac.ir Special issue information: Contributions: This Special Issue will enhance understanding in this important and emerging area of study as follows: a. Comprehensive Problem Solving: The integration of AI and Optimization Models enables a more comprehensive approach to problem-solving, leveraging AI's ability to process large datasets and recognize complex patterns, while optimization techniques ensure the identification of optimal or near-optimal solutions. b. Real-Time Decision-Making: By combining AI's capacity to analyze real-time data with optimization's ability to generate efficient solutions, organizations can make well-informed and timely decisions, particularly in dynamic and rapidly changing environments. c. Enhanced Resource Utilization: Integrating AI and Optimization Models can lead to improved resource allocation and utilization, optimizing processes and minimizing costs across various domains like logistics, supply chain management, and energy consumption. d. Multi-Dimensional Problem Domains: Complex real-world problems often involve multiple objectives and constraints. The combination of AI and Optimization Models provides a powerful approach to tackle multi-dimensional problem domains, offering a more nuanced understanding of trade-offs and balancing conflicting goals. Importance of AI and Optimization Model IntegrationThe synergistic combination of AI and Optimization Models presents several compelling reasons for its significance: a. Data-Driven Decision-Making: AI (including Analytics) is adept at extracting insights from data, but it often lacks the capability to make strategic decisions. When combined with Optimization Models, AI's data-driven insights can be translated into actionable decisions, enhancing the overall decision-making process. b. Handling Uncertainty: Real-world problems frequently involve uncertainty and dynamic environments. AI's adaptive nature can assist in analyzing changing data patterns, while Optimization Models can create robust plans that adapt to uncertainties, resulting in more resilient systems. c. Efficient Exploration of Solution Space: Optimization Models excel in searching vast solution spaces, but they can be limited by the complexity of the problem. AI, especially in the form of evolutionary algorithms or reinforcement learning, can assist in exploring diverse solution spaces efficiently, finding novel and unconventional solutions. d. Personalization and Customization: AI can help identify individual preferences and behavior patterns, enabling Optimization Models to tailor solutions to specific user needs. This personalization can significantly enhance user experiences and outcomes in recommendation systems, personalized medicine, and marketing campaigns. 4. Applications Articles that discuss the use of Analytics and Big Data to enhance problem solving are included under the broader umbrella of AI and Optimization. The integration of AI and Optimization Models has wide-ranging applications, including but not limited to: a. Healthcare: Personalized treatment plans, drug discovery, scheduling (patient, doctor, nurse, OR, etc.), patient prioritization and resource allocation in healthcare can be optimized by integrating AI with optimization techniques, leading to improved patient outcomes and cost efficiency. b. Transportation and Logistics: Optimizing routes, delivery schedules, and resource allocation in transportation and logistics can be significantly improved by incorporating AI techniques in the optimization process. c. Finance and Investment: Combining AI's predictive capabilities with optimization techniques can lead to more accurate portfolio optimization, risk management, and trading strategies. d. Manufacturing and Supply Chain: Optimizing production processes, inventory management, and supply chain logistics can be enhanced by leveraging AI to analyze demand patterns and predict disruptions. Conclusion: In conclusion, the integration of AI and Optimization Models represents a formidable alliance in problem-solving and decision-making across numerous sectors. By harnessing AI's data-driven insights and Optimization Models' ability to identify optimal solutions, organizations can achieve greater efficiency, make informed decisions in real-time, and navigate complex problem spaces with confidence. The potential applications of this combined approach are vast and can lead to transformative advancements in a wide range of fields Manuscript submission information: Submission instructions The Journal’s submission system is open for submissions to our Special Issue. When submitting your manuscript please select the article type “VSI:The Synergy of AI and Optimization Models”. Please submit your manuscript before 31st July 2025. The submission link is: https://www.editorialmanager.com/CAOR/default.aspx All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles. Please see an example here: https://www.sciencedirect.com/journal/computers-and-operations-research Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and link to submit your manuscript is available on the Journal’s homepage at: https://www.sciencedirect.com/journal/computers-and-operations-research/publish/guide-for-authors Inquiries, including questions about appropriate topics, may be sent electronically to the guest editor: Davood Golmohammadi, Ph.D. [Managing Guest Editor] University of Massachusetts Boston davood.golmohammadi@umb.edu Keywords: Artificial Intelligence, Optimization Models, Decision Making
Last updated by Dou Sun in 2024-07-14
Special Issue on Challenges and Perspectives in Location Science
Submission Date: 2024-08-31

We invite the submission of high-quality manuscripts that present innovative research and address theoretical achievements, algorithmic development as well as real-world applications within Location Science. Guest editors: Teresa Melo, Saarland University of Applied Sciences (htw saar), Germany Email id: teresa.melo@htwsaar.de Stefan Nickel, Karlsruhe Institute of Technology (KIT) and FZI Research Center for Information Technology, Germany Email id: stefan.nickel@kit.edu Anita Schöbel, University of Kaiserslautern-Landau (RPTU) and Fraunhofer Institute for Industrial Mathematics (ITWM), Germany email id: anita.schoebel@rptu.de Special issue information: This special issue will be dedicated to the International Symposium on Locational Decisions (ISOLDE XVI 2023), which was held in Germany from 25 to 30 June 2023. However, the special issue is also open to contributions that were not presented at the conference. Topics of interest include, but are not limited to: • Continuous Location • Network Location • Discrete Location • Hub Location • Location and Logistics • Location Decisions in Traffic Planning • Network/Supply Chain Design • Location-Routing • Location under Uncertainty • Competitive Location • Territory Design • Applications of Facility Location Problems Manuscript submission information: Submission instructions The Journal’s submission system is open for submissions to our Special Issue. When submitting your manuscript please select the article type “VSI:Challenges and Perspectives in Location Science”. Please submit your manuscript before 31st August 2024. The submission link is: https://www.editorialmanager.com/CAOR/default.aspx All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles. Please see an example here: https://www.sciencedirect.com/journal/computers-and-operations-research Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and link to submit your manuscript is available on the Journal’s homepage at: https://www.sciencedirect.com/journal/computers-and-operations-research/publish/guide-for-authors Submission deadline: 31st August 2024 Submitted manuscripts must not have previously been published nor be currently under consideration for publication elsewhere. All submissions will be thoroughly peer reviewed according to the high standards of Computers and Operations Research, under the supervision of the Guest Editors Early submission is recommended; the review process starts once the manuscript is received. Accepted manuscripts will be published online individually as they are accepted, before print publication. Inquiries, including questions about appropriate topics, may be sent electronically to the guest editors listed above. Keywords: Location Science, Theory, Algorithms, Applications
Last updated by Dou Sun in 2024-07-14
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