By Sándor P. Fekete, Henk Meijer, André Rohe, Walter Tietze (auth.), Adam L. Buchsbaum, Jack Snoeyink (eds.)
This booklet constitutes the completely refereed post-proceedings of the 3rd overseas Workshop on set of rules Engineering and Experimentation, ALENEX 2001, held in Washington, DC, united states in January 2001.
The 15 revised complete papers offered including the abstracts of 3 invited displays have passed through rounds of reviewing and revision and have been chosen from 31 submissions. one of the themes addressed are heuristics for approximation, community optimization, TSP, randomization, sorting, info retrieval, graph computations, tree clustering, scheduling, community algorithms, element set computations, looking, and information mining.
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Additional info for Algorithm Engineering and Experimentation: Third International Workshop, ALENEX 2001 Washington, DC, USA, January 5–6, 2001 Revised Papers
It consists of two alternating search processes. The ﬁrst process is a variable-depth search that tries to ﬁnd an improving kopt move for some odd k ≥ 3 by a constrained sequential search procedure modeled on that in Lin-Kernighan. As opposed to that algorithm, however, [KP80] requires that each of the odd h-opt moves encountered along the way must have a better “gain” than its predecessor. ) The second process is a search for an improving 4-Opt move, for which K&P used a potentially Ω(N 4 ) algorithm which seemed to work well in practice.
The two most signiﬁcant are ZHANG2 in which in each phase all viable children are patched to tours to see if a new champion can be produced, and ZHANG0, in which patching is only performed on M0 . ZHANG2 produces marginally better tours than does ZHANG1, but at a typical cost of roughly doubling the running time. ZHANG0 is only slightly faster than ZHANG1 and produces signiﬁcantly worse tours. Because of space restrictions we postpone details on these and other variants of ZHANG1 to the ﬁnal report.
We also construct nearneighbor lists to speed (and possibly limit) the search, and exploit “don’t-look” bits to avoid repeating searches that are unlikely to be successful. Because of space limitations, this preliminary report will not report on results for 3-Opt itself, although it does cover the much more eﬀective “iterated” algorithm based on 3-Opt, to be described below. 6 Local Search: Kanellakis-Papadimitriou Variants Note that local search algorithms that hope to do well for arbitrary ATSP instances cannot reverse tour segments (as is done in many STSP heuristics), only reorder them.
Algorithm Engineering and Experimentation: Third International Workshop, ALENEX 2001 Washington, DC, USA, January 5–6, 2001 Revised Papers by Sándor P. Fekete, Henk Meijer, André Rohe, Walter Tietze (auth.), Adam L. Buchsbaum, Jack Snoeyink (eds.)