By Karl F. Doerner, Michel Gendreau, Peter Greistorfer, Walter Gutjahr, Richard F. Hartl, Marc Reimann
This book’s target is to supply a number of other kinds of data: a delineation of common metaheuristics tools, a few cutting-edge articles from quite a few recognized classical program parts in addition to an outlook to fashionable computational tools in promising new parts. for this reason, this publication may perhaps both function a textbook in graduate classes for college kids, as a reference e-book for individuals attracted to engineering or social sciences, and as a suite of latest and promising avenues for researchers operating during this field.
Read or Download Metaheuristics: Progress in Complex Systems Optimization (Operations Research Computer Science Interfaces Series) PDF
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Extra info for Metaheuristics: Progress in Complex Systems Optimization (Operations Research Computer Science Interfaces Series)
It is therefore relevant to pursue examining other heuristic approaches for the CMND. The purpose of this paper is to report on an extensive investigation of diﬀerent variants of a new metaheuristic for the CMND. This new heuristic is based on the Scatter Search concept originally introduced by Glover [8, 9]. The remainder of the paper is organized as follows. In section 2, we recall the arc-based formulation of the CMND, as well as some of its basic properties that will be exploited in our scatter search heuristic.
Furthermore, as indicated in section 3, at initialization, if less than 20 local optima have been identiﬁed by tabu search, the reference set is ﬁlled with the best solutions encountered by tabu search that were not local optima, since preliminary testing showed that this had a positive impact on results. 1, we report the percentage gaps observed between the solutions obtained with scatter search for N = 3, 4, 5 and for combination rules (V), (C) and (H) with those produced by path relinking  for the 43 instances tested.
3. 4. 5. 6. Number of iterations, new solutions, and reference set updates (N = 3) Problem 100,400,10,F,L 100,400,10,F,T 100,400,10,V,L 100,400,30,F,L 100,400,30,F,T 100,400,30,V,T 25,100,10,F,L 25,100,10,F,T 25,100,10,V,L 25,100,30,F,L 25,100,30,F,T 25,100,30,V,T 20,230,40,V,L 20,230,40,V,T 20,230,40,F,T 20,230,200,V,L 20,230,200,F,L 20,230,200,V,T 20,230,200,F,T 20,300,40,V,L 20,300,40,F,L 20,300,40,V,T 20,300,40,F,T 20,300,200,V,L 20,300,200,F,L 20,300,200,V,T 20,300,200,F,T 30,520,100,V,L 30,520,100,F,L 30,520,100,V,T 30,520,100,F,T 30,520,400,V,L 30,520,400,F,L 30,520,400,V,T 30,520,400,F,T 30,700,100,V,L 30,700,100,F,L 30,700,100,V,T 30,700,100,F,T 30,700,400,V,L 30,700,400,F,L 30,700,400,V,T 30,700,400,F,T #iter 68 72 22 66 51 12 73 58 35 150 24 19 20 28 15 116 43 66 90 23 22 11 25 114 85 114 83 94 73 29 81 49 183 27 106 30 42 32 24 119 125 35 148 (V) new 57 64 19 56 50 12 60 50 25 143 23 15 20 28 15 113 43 66 89 22 20 11 23 113 84 111 81 84 72 28 79 49 183 25 106 29 37 32 21 118 124 35 142 upd.