Genetic algorithm and Wisdom of Artificial Crowds algorithm applied to Light up

We describe an experimental approach to solving instances of an NP-Complete game, Light up, using a genetic algorithm. Subsequently we apply a new postprocessing algorithm known as the Wisdom of Artificial Crowds (WoAC) to improve the quality of achieved solutions. Experimental results are reported and directions for future research are suggested.

[1]  Sancho Salcedo-Sanz,et al.  Automated generation and visualization of picture-logic puzzles , 2007, Comput. Graph..

[2]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[3]  Lance Fortnow,et al.  The status of the P versus NP problem , 2009, CACM.

[4]  José Ignacio Hidalgo,et al.  A hybrid heuristic for the traveling salesman problem , 2001, IEEE Trans. Evol. Comput..

[5]  Harold Pashler,et al.  Optimal Predictions in Everyday Cognition: The Wisdom of Individuals or Crowds? , 2008, Cogn. Sci..

[6]  J. Tenenbaum,et al.  Optimal Predictions in Everyday Cognition , 2006, Psychological science.

[7]  Tomasz Dominik Gwiazda,et al.  Crossover for single-objective numerical optimization problems , 2006 .

[8]  Raymond J. Mooney,et al.  Constructing Diverse Classifier Ensembles using Artificial Training Examples , 2003, IJCAI.

[9]  L. Darrell Whitley,et al.  Scheduling Problems and Traveling Salesmen: The Genetic Edge Recombination Operator , 1989, International Conference on Genetic Algorithms.

[10]  D. Opitz,et al.  Popular Ensemble Methods: An Empirical Study , 1999, J. Artif. Intell. Res..

[11]  Bhaskar Krishnamachari,et al.  Exploiting the wisdom of the crowd: localized, distributed information-centric VANETs [Topics in Automotive Networking] , 2010, IEEE Communications Magazine.

[12]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[13]  Robert G. Reynolds,et al.  Evolutionary computation: Towards a new philosophy of machine intelligence , 1997 .

[14]  Salil P. Vadhan,et al.  Computational Complexity , 2005, Encyclopedia of Cryptography and Security.

[15]  Edmund A. Mennis.  The Wisdom of Crowds: Why the Many Are Smarter than the Few and How Collective Wisdom Shapes Business, Economies, Societies, and Nations , 2006 .

[16]  A. E. Eiben,et al.  Genetic algorithms with multi-parent recombination , 1994, PPSN.

[17]  Raymond J. Mooney,et al.  Diverse ensembles for active learning , 2004, ICML.

[18]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .