Metaheuristics has grown and continues to grow steadily. Seen both from the technical point of view and from the application-oriented side, these optimization tools have established their value in a remarkable story of success. Researchers have demonstrated the ability of these methods to solve hard combinatorial problems of practical sizes within reasonable computational time.
Highlighted in METAHEURISTICS: Progress in Complex Systems Optimization are the recent developments made in the area of Simulated Annealing, Path Relinking, Scatter Search, Tabu Search, Variable...
Metaheuristics has grown and continues to grow steadily. Seen both from the technical point of view and from the application-oriented side, these o...
Metaheuristics has grown and continues to grow steadily. Seen both from the technical point of view and from the application-oriented side, these optimization tools have established their value in a remarkable story of success. Researchers have demonstrated the ability of these methods to solve hard combinatorial problems of practical sizes within reasonable computational time.
Highlighted in METAHEURISTICS: Progress in Complex Systems Optimization are the recent developments made in the area of Simulated Annealing, Path Relinking, Scatter Search, Tabu Search, Variable...
Metaheuristics has grown and continues to grow steadily. Seen both from the technical point of view and from the application-oriented side, these o...