\n Many problems in Artificial Intelligence show an exponential\n explosion of the search s pace. Although stemming from\n different r esearch areas in AI, such problems are often\n addressed with algorithms that have a common g oal: the\n effective exploration of huge st ate spaces. Many algorithms\n developed in one research area are applicable to other\n problems, or can be hybridized with techniques i n other\n areas. Artificial Intelligence to ols often exploit or\n hybridize techniques developed by other research communities,\n such as Operations Research. In recent years, re search in\n Artificial Intelligence has mor e and more focused on\n experimental evalua tion of algorithms, the development of\n su itable methodologies for experimentation and analy sis, the\n study of languages and the imple mentation of systems for the\n definition a nd solution of problems.\n
\n\n Scope of the workshop is fostering the cros s-fertilization of\n ideas stemming from di fferent areas, proposing benchmarks for\n n ew challenging problems, comparing models and algo rithms from\n an experimental viewpoint, an d, in general, comparing\n different approa ches with respect to efficiency, problem\n modeling, and ease of development.\n
\n \n \nFor more information, see\n http://www.aixia2016.unige.it/ or contact the workshop co-chairs can be contacted b y sending\n an email to rcra2016 at easychair.org .\n
\n\n Authors are invited to submit either orig inal (full or\n short) papers, or papers that appear on conference\n proceedings. Publications showing negative results are\n welcome, provided that the approach was origin al and very\n promising in principle, the experimentation was\n well-conducted, th e results obtained were unforeseeable and\n gave important hints in the comprehension of th e target\n problem, helping other researc hers to avoid unsuccessful\n paths. Pape r submission deadline: September 8th, 2016.\n
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