Handbook of Metaheuristics: Applications in Operations Research and Management
5 out of 5
Language | : | English |
File size | : | 31270 KB |
Text-to-Speech | : | Enabled |
Enhanced typesetting | : | Enabled |
Word Wise | : | Enabled |
Print length | : | 1130 pages |
Screen Reader | : | Supported |
This handbook provides a comprehensive overview of metaheuristics, their applications in operations research and management, and their potential for solving complex real-world problems.
What are Metaheuristics?
Metaheuristics are a class of optimization algorithms that are used to solve complex problems that cannot be solved using traditional mathematical methods. They are inspired by nature, and they work by iteratively improving a candidate solution until a satisfactory solution is found.
Applications of Metaheuristics in Operations Research and Management
Metaheuristics have been successfully applied to a wide range of problems in operations research and management, including:
- Scheduling
- Routing
- Vehicle routing
- Supply chain management
- Inventory management
- Facility location
- Production planning
- Financial planning
- Marketing
- Healthcare
Benefits of Using Metaheuristics
Metaheuristics offer a number of benefits over traditional mathematical methods, including:
- They can be used to solve complex problems that cannot be solved using traditional methods.
- They are relatively easy to implement.
- They are computationally efficient.
- They can be used to find high-quality solutions.
Challenges of Using Metaheuristics
Despite their benefits, metaheuristics also have some challenges, including:
- They can be difficult to tune.
- They can be sensitive to the initial solution.
- They can be slow to converge.
Future of Metaheuristics
Metaheuristics are a rapidly growing field of research, and new algorithms are being developed all the time. As metaheuristics continue to improve, they are likely to become even more widely used in operations research and management.
Metaheuristics are a powerful tool for solving complex real-world problems. They offer a number of benefits over traditional mathematical methods, and they are likely to become even more widely used in the future.
5 out of 5
Language | : | English |
File size | : | 31270 KB |
Text-to-Speech | : | Enabled |
Enhanced typesetting | : | Enabled |
Word Wise | : | Enabled |
Print length | : | 1130 pages |
Screen Reader | : | Supported |
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5 out of 5
Language | : | English |
File size | : | 31270 KB |
Text-to-Speech | : | Enabled |
Enhanced typesetting | : | Enabled |
Word Wise | : | Enabled |
Print length | : | 1130 pages |
Screen Reader | : | Supported |