- author = "Edmund K. Burke and Matthew Hyde and Graham Kendall and John Woodward",
- title = "A Genetic Programming Hyper-Heuristic Approach for Evolving 2-D Strip Packing Heuristics",
- journal = "IEEE Transactions on Evolutionary Computation",
- year = "2010",
- volume = "14",
- number = "6",
- pages = "942--958",
- month = dec,
- keywords = "genetic algorithms, genetic programming, volutionary computation, evolving 2D strip packing heuristics, genetic programming hyper heuristic approach, search methodologies, computational complexity, search problems",
- ISSN = "1089-778X",
-
DOI = "
doi:10.1109/TEVC.2010.2041061",
-
URL = "
http://results.ref.ac.uk/Submissions/Output/3290828",
- abstract = "We present a genetic programming (GP) system to evolve reusable heuristics for the 2-D strip packing problem. The evolved heuristics are constructive, and decide both which piece to pack next and where to place that piece, given the current partial solution. This paper contributes to a growing research area that represents a paradigm shift in search methodologies. Instead of using evolutionary computation to search a space of solutions, we employ it to search a space of heuristics for the problem. A key motivation is to investigate methods to automate the heuristic design process. It has been stated in the literature that humans are very good at identifying good building blocks for solution methods. However, the task of intelligently searching through all of the potential combinations of these components is better suited to a computer. With such tools at their disposal, heuristic designers are then free to commit more of their time to the creative process of determining good components, while the computer takes on some of the design process by intelligently combining these components. This paper shows that a GP hyper-heuristic can be employed to automatically generate human competitive heuristics in a very-well studied problem domain.",
-
notes = "Entered for 2011 HUMIES GECCO 2011
also known as \cite{5491153}",
- uk_research_excellence_2014 = "This represents the first attempt to use a computer to design new constructive packing methods for rectangular stock cutting. It can automatically produce constructive heuristics which are often better than human-created methods. This methodology is having a major impact in this field by providing the foundations for fundamentally new directions in the automatic design of effective algorithms by computer. The results in this paper provided some of the foundation blocks and signposts for a new major EPSRC programme grant (EP/J017515/1) of pounds6.8M between UCL, Stirling, York and Birmingham, started in 2012.",
