These proceedings contain the papers presented at the 8th Annual Genetic and Evolutionary Computation COnference (GECCO-2006), held in Seattle, Washington, USA., July 8-12, 2006.In our second year sponsored by the ACM Special Interest Group on Evolutionary Computation (SIGEVO), we've seen a further evolution of the field toward practical importance. Although the main genetic algorithm track remains the largest in the number of submitted papers, the real world applications track is starting to close the gap rapidly. As an ACM publication, the GECCO-2006 proceedings are available online in the ACM Digital Library. This guarantees a broader dissemination of Darwinian and other nature-inspired computation methods, and will likely increase the relevance of the field even further.A total of 446 papers were submitted to 15 separate tracks, with 205 (46%) accepted as full, eight-page papers for publication and oral presentation. Double-blind reviews were conducted by over 400 reviewers. On average, each paper was evaluated by four reviewers. In addition, 143 papers were accepted as posters with two-page abstracts included in the proceedings.With 10 workshops, 32 tutorials, sessions in Evolutionary Computation in Practice, late-breaking papers, awards in human-competitive results, GECCO-2006 has lived up to its motto of one conference, many mini-conferences. Also this year's GECCO thrives on diversity.
Proceeding Downloads
This file contains all the articles from GECCO 2006 in BibTeX format.
Introducing recombination with dynamic linkage discovery to particle swarm optimization
In this paper, we introduce the recombination operator with the technique of dynamic linkage discovery to particle swarm optimization (PSO) in order to improve the performance of PSO. Numerical experiments are conducted on a set of carefully designed ...
Ant colony optimization technique for equilibrium assignment in congested transportation networks
This paper deals with transport user equilibrium. A modified version of the ant colony system is proposed where the ant colony heuristic is adapted in order to take into account all aspects characterizing the transport problem: multiple ODs (Origin-...
Dynamic fitness inheritance proportion for multi-objective particle swarm optimization
In this paper, we propose a dynamic mechanism to vary the probability by which fitness inheritance is applied throughout the run of a multi-objective particle swarm optimizer, in order to obtain a greater reduction in computational cost (than the ...
The Brueckner network: an immobile sorting swarm
In many industrial applications, the dynamic control of queuing and routing presents difficult challenges. We describe a novel ant colony control system for a multiobjective sorting problem using an Emergent Sorting Network (ESN) designed by Sven ...
Index Terms
- Proceedings of the 8th annual conference on Genetic and evolutionary computation
Recommendations
Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
GECCO '17 | 462 | 178 | 39% |
GECCO '16 | 381 | 137 | 36% |
GECCO '16 Companion | 381 | 137 | 36% |
GECCO '15 | 505 | 182 | 36% |
GECCO '14 | 544 | 180 | 33% |
GECCO Comp '14 | 544 | 180 | 33% |
GECCO '13 | 570 | 204 | 36% |
GECCO '07 | 577 | 266 | 46% |
GECCO '06 | 446 | 205 | 46% |
Overall | 4,410 | 1,669 | 38% |