Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre

Below you may find the slides I used during GECCO 2009 to present the paper titled “Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre”. An early preprint in form of technical report can be found as an IlliGAL TR No. 2009001 or the full paper at the ACM digital library

Related […]

Related posts:

  1. Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre
  2. Meandre: Semantic-Driven Data-Intensive Flows in the Clouds
  3. Scaling Genetic Algorithms using MapReduce

Below you may find the slides I used during GECCO 2009 to present the paper titled “Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre”. An early preprint in form of technical report can be found as an IlliGAL TR No. 2009001 or the full paper at the ACM digital library

Related posts:

  1. Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre
  2. Meandre: Semantic-Driven Data-Intensive Flows in the Clouds
  3. Scaling Genetic Algorithms using MapReduce

John Holland to give a keynote at GECCO-2009 in Montreal, Canada

John H. Holland will give a keynote speech at GECCO-2009 on July 12, 2009 (Sunday), 10:40am-11:40am. The talk is entitled Genetic Algorithms: Long Ago [Past] and Far Away [Future] and the abstract of the talk follows:

It was in the mid-50’s of the 20th century when I realized that Fisher’s fundamental theorem could be extended […]

John H. Holland

John H. Holland will give a keynote speech at GECCO-2009 on July 12, 2009 (Sunday), 10:40am-11:40am. The talk is entitled Genetic Algorithms: Long Ago [Past] and Far Away [Future] and the abstract of the talk follows:

It was in the mid-50’s of the 20th century when I realized that Fisher’s fundamental theorem could be extended from individual alleles to co-adapted sets of alleles, without linearization. That led to a realization that recombination, rather than mutation, was the main mechanism providing grist for the natural selection mill. There was little theory concerning recombination in those days, but now recombination is a standard explanation for biological innovations, such as swine flu.

Much later, in the early 1990’s, GA’s provided the “adaptive” part of rule-based models of complex adaptive systems (CAS), such as the artificial stock market pioneered at the Santa Fe Institute. Tag-based signal processing occurs in systems as different as biological cells, language acquisition, and ecosystems. CAS models offer a unified way to study the on-going co-evolution of boundary and tag networks in these systems.

Another keynote speaker at GECCO-2009 is Demetri Terzopoulos, who will give the talk Artificial Life Simulation of Humans and Lower Animals: From Biomechanics to Intelligence on July 11 (Saturday) at 4.10pm-5.50pm. As if this wasn’t enough, GECCO-2009 will also feature an invited talk of Hans-Paul Schwefel at the Learning from Failures in Evolutionary Computation (LFFEC) Workshop, which is entitled Failures as stepping stones to success or per aspera ad astra.

More details can be found on GECCO-2009 webpage.

GECCO ranks 11th among conferences in AI/ML

According to the estimated impact factor, GECCO (Genetic and Evolutionary Computation Conference) ranks 11th in computer science conferences on artificial intelligence, machine learning, and human-computer interaction. The source: http://www.cs-conference-ranking.org/conferencerankings/topicsii.html.

According to the estimated impact factor, GECCO (Genetic and Evolutionary Computation Conference) ranks 11th in computer science conferences on artificial intelligence, machine learning, and human-computer interaction. The source: http://www.cs-conference-ranking.org/conferencerankings/topicsii.html.

HAIS’09: Special session on “Knowledge Extraction based on Evolutionary Learning”

CALL FOR PAPERS
The special session on Knowledge Extraction based on Evolutionary Learning in the 4th Hybrid Artificial Intelligent Systems (HAIS 2009) aims at bringing together researchers in Knowledge Extraction based on Evolutionary Learning to discuss new trends for the research in the field.
This special session intends to be a forum for researchers to […]

CALL FOR PAPERS
The special session on Knowledge Extraction based on Evolutionary Learning in the 4th Hybrid Artificial Intelligent Systems (HAIS 2009) aims at bringing together researchers in Knowledge Extraction based on Evolutionary Learning to discuss new trends for the research in the field.
This special session intends to be a forum for researchers to […]