Parallel Combinatorial Optimization

Parallel Combinatorial Optimization covers frameworks and optimization methodologies with a balance of theory, practice, and real-world examples, ranging from disciplines such as telecommunications, logistics, genomics, scheduling, routing, and network design. This comprehensive and very practical title includes well-known problems and solutions, as well as examples of the challenges encountered in solving large problems on Grid platforms, making it ideal for industrial researchers and developers, as well as graduates in parallel optimization and computing.