New Advances in Mathematical Methods for Operational Research
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E5: Financial Mathematics".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 382
Special Issue Editors
Interests: operations management; supply chain management; operations research; artificial intelligence; enterprise systems
Special Issue Information
Dear Colleagues,
The scope of this Special Issue includes but is not limited to the following main areas (with suggested sub-areas) and their applications:
Optimization methods
- General discrete and continuous optimization theory
- Mathematical programming approaches and models
- Linear and integer linear programming
- Constraint programming
- Geometric programming
- Non-linear programming
- Dynamic programming
- Multi-objective and multi-attribute models
- Various search techniques
- Particular local and global search algorithms
- Pattern, Tabu and diverse neighborhood search approaches
- GRASP and its various adaptations
- Newton–Raphson and its various modifications
- Golden search technique and adaptations
- General meta-heuristic search approaches and their adaptations
- Genetic Algorithms
- Swarm Intelligence
- Artificial Bee Colony
- Bacterial Foraging
- Differential Evolution
- Particle Swarm Optimization
- Simulated Annealing
- Evolutionary Computing
- Ant Colony Optimization
- Memetic Algorithms
- Artificial Immune Systems
- Cookoo Search algorithm
- Chicken Search algorithm
- Blended solution algorithms for combinatorial problems
- Hybrid local and meta-heuristics
- Hyper heuristics
- Matheuristics
- Learnheuristics
- Simheuristics
- Developments in neural and fuzzy computing
- Artificial neural networks: theory and applications
- Fuzzy sets theory and fuzzy logic applications
- Neuro-fuzzy systems
- Neutrosophic models
- Support vector machine
- Dynamic systems and differential equation models
- Models of stochastic processes
- Queuing models
- Markov decision models
- Embedded Markov models
- Phase distributed models and solution techniques
- Graph theory and its various applications in operations research
- Forecasting, econometric, general predictive models and analytics
- Trend ad pattern predictors, cluster analysis
- Simulation techniques and their applications
- Simulation theory
- Discrete event modeling
- Agent-based modeling
- System Dynamics modeling
- Mixed simulation modeling paradigms
- Optimal control theory
- Quantum optimization/computing
- Security optimization management.
Applications and case studies are also welcome, and this can cover various industries and applications, including but not limited to:
- Power systems
- Flood and general disaster management
- Decision making under uncertainties
- Large-scale problems
- Solar energy systems
- Transportation and logistics
- Agriculture
- Manufacturing
- Environmental modelling
- Financial systems
- Inventory control and management
- Job scheduling
- Facility location
- Facility layout
- Waste management
- General supply chain systems
- Health management
- Mobile computing
- Marketing
- Performance measurement and competitiveness.
Dr. Olufemi Adetunji
Dr. Sunday Ayoola Oke
Guest Editors
Manuscript Submission Information
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