Abstract. The concept of a hyperheuristic is introduced as an approach that operates at a higher lever of abstraction than current metaheuristic approaches. The hyperheuristic manages the choice of which lower-level heuristic method should be applied at any given time, depending upon the characteristics of the region of the solution space currently under exploration. We analyse the behaviour of several different hyperheuristic approaches for a real-world personnel scheduling problem. Results obtained show the effectiveness of our approach for this problem and suggest wider applicability of hyperheuristic approaches to other problems of scheduling and combinatorial optimisation
Hyperheuristics give us the appealing possibility of abstracting the solution method from the proble...
The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorit...
We propose two classes for the implementation of hyper-heuristic algorithms. The first is based on c...
Abstract. The concept of a hyperheuristic is introduced as an approach that operates at a higher lev...
This thesis is concerned with the investigation of hyperheuristic techniques. Hyperheuristics are he...
© 1997-2012 IEEE. Hyper-heuristics have recently emerged as a powerful approach to automate the desi...
For decades, optimisation research has investigated methods to find optimal solutions to many proble...
A variety of approaches have been used to solve a variety of combinatorial optimisation problems. Ma...
In the last few years, the society is witnessing ever-growing levels of complexity in the optimizati...
For decades, optimisation research has investigated methods to find optimal solutions to many proble...
Scheduling large real world problems is a complex process and finding high quality solutions is not ...
This paper introduces a framework based on the collaboration of multi agent and hyper-heuristics to ...
This introduction to the field of hyper-heuristics presents the required foundations and tools and i...
Abstract. This paper investigates an emerging class of search algorithms, in which high-level domain...
This thesis is concerned with the subject of heuristic scheduling in the context of medium-sized bat...
Hyperheuristics give us the appealing possibility of abstracting the solution method from the proble...
The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorit...
We propose two classes for the implementation of hyper-heuristic algorithms. The first is based on c...
Abstract. The concept of a hyperheuristic is introduced as an approach that operates at a higher lev...
This thesis is concerned with the investigation of hyperheuristic techniques. Hyperheuristics are he...
© 1997-2012 IEEE. Hyper-heuristics have recently emerged as a powerful approach to automate the desi...
For decades, optimisation research has investigated methods to find optimal solutions to many proble...
A variety of approaches have been used to solve a variety of combinatorial optimisation problems. Ma...
In the last few years, the society is witnessing ever-growing levels of complexity in the optimizati...
For decades, optimisation research has investigated methods to find optimal solutions to many proble...
Scheduling large real world problems is a complex process and finding high quality solutions is not ...
This paper introduces a framework based on the collaboration of multi agent and hyper-heuristics to ...
This introduction to the field of hyper-heuristics presents the required foundations and tools and i...
Abstract. This paper investigates an emerging class of search algorithms, in which high-level domain...
This thesis is concerned with the subject of heuristic scheduling in the context of medium-sized bat...
Hyperheuristics give us the appealing possibility of abstracting the solution method from the proble...
The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorit...
We propose two classes for the implementation of hyper-heuristic algorithms. The first is based on c...