CFP: Special Issue on Evolvable Hardware Challenges

Call for Papers: Special Issue on Evolvable Hardware ChallengesJournal: Genetic Programming and Evolvable Machines (pub. by Springer)Guest Editor: Pauline C. Haddow, Norwegian Univ. of Science and TechnologyEditor-in-Chief: Lee Spector, Hampshire Colle…

Call for Papers: Special Issue on Evolvable Hardware Challenges
Journal: Genetic Programming and Evolvable Machines (pub. by Springer)
Guest Editor: Pauline C. Haddow, Norwegian Univ. of Science and Technology
Editor-in-Chief: Lee Spector, Hampshire College
Evolvable Hardware, the application of evolutionary techniques as hardware design techniques, is still in its infancy despite a 15 year lifespan. After the initial excitement in the late 1990s there have been many successes but perhaps not at the rate or to the extent of the original expectations. There are many challenges inherent in Evolvable Hardware that are currently being addressed or need to be addressed so as to unlock the true potential of the field. Such work, together with research on real world applications, will lead to a clearer definition of the field and thus pave a future path for Evolvable Hardware. The aim of this special issue is to provide the reader with contributions that we feel provide strong contributions towards this goal.
Two articles by leading researchers have already been commissioned:
– The Evolution of Standard Cell Libraries for Future Technology Nodes
James Walker, James Hilder & Andy Tyrrell
– An Evolved Anti-Jamming Antenna Beamforming Network
Jason Lohn, Derek Linden & Jonathan Becker
== Open submissions
We encourage submission of high quality papers, both theoretical and practical, describing newer approaches that address key challenges facing Evolvable Hardware today. Application papers that illustrate that Evolvable Hardware can achieve results that are challenging for today’s more traditional hardware design techniques are also sought. In addition, we are interested in contributions that address the computational design challenge in tomorrow’s technologies through the application of bio-inspired techniques. Subjects will include (but are not limited to):
– Evolvable hardware design
– Adaptive hardware
– Evolutionary robotics
– Formal models of bio-inspired hardware
– Generative and developmental approaches
– Real-world applications of evolvable hardware
– Bio-inspired computation on future technology
We encourage all prospective authors to contact the guest editor, at the address below, as early as possible to indicate your intention to submit a paper to this special issue.
Guest Editor:
Pauline C. Haddow pauline@idi.ntnu.no
Dept. of Computer and Information Science
The Norwegian University of Science and Technology
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals.
Manuscripts should be submitted to: http://GENP.edmgr.com. Choose “Evolvable Hardware” as the article type when submitting.
Springer offers authors, editors and reviewers of Genetic Programming and Evolvable Machines a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscript with straightforward log-in and submission procedures, and it supports a wide range of submission file formats.
== Important Dates:
Paper submission deadline: Sept, 1, 2010
Notification of acceptance: Oct 8, 2010
Final manuscript: Oct 29, 2010

CFP: Special Issue on Evolvable Hardware Challenges

Call for Papers: Special Issue on Evolvable Hardware ChallengesJournal: Genetic Programming and Evolvable Machines (pub. by Springer)Guest Editor: Pauline C. Haddow, Norwegian Univ. of Science and TechnologyEditor-in-Chief: Lee Spector, Hampshire Colle…

Call for Papers: Special Issue on Evolvable Hardware Challenges
Journal: Genetic Programming and Evolvable Machines (pub. by Springer)
Guest Editor: Pauline C. Haddow, Norwegian Univ. of Science and Technology
Editor-in-Chief: Lee Spector, Hampshire College
Evolvable Hardware, the application of evolutionary techniques as hardware design techniques, is still in its infancy despite a 15 year lifespan. After the initial excitement in the late 1990s there have been many successes but perhaps not at the rate or to the extent of the original expectations. There are many challenges inherent in Evolvable Hardware that are currently being addressed or need to be addressed so as to unlock the true potential of the field. Such work, together with research on real world applications, will lead to a clearer definition of the field and thus pave a future path for Evolvable Hardware. The aim of this special issue is to provide the reader with contributions that we feel provide strong contributions towards this goal.
Two articles by leading researchers have already been commissioned:
– The Evolution of Standard Cell Libraries for Future Technology Nodes
James Walker, James Hilder & Andy Tyrrell
– An Evolved Anti-Jamming Antenna Beamforming Network
Jason Lohn, Derek Linden & Jonathan Becker
== Open submissions
We encourage submission of high quality papers, both theoretical and practical, describing newer approaches that address key challenges facing Evolvable Hardware today. Application papers that illustrate that Evolvable Hardware can achieve results that are challenging for today’s more traditional hardware design techniques are also sought. In addition, we are interested in contributions that address the computational design challenge in tomorrow’s technologies through the application of bio-inspired techniques. Subjects will include (but are not limited to):
– Evolvable hardware design
– Adaptive hardware
– Evolutionary robotics
– Formal models of bio-inspired hardware
– Generative and developmental approaches
– Real-world applications of evolvable hardware
– Bio-inspired computation on future technology
We encourage all prospective authors to contact the guest editor, at the address below, as early as possible to indicate your intention to submit a paper to this special issue.
Guest Editor:
Pauline C. Haddow pauline@idi.ntnu.no
Dept. of Computer and Information Science
The Norwegian University of Science and Technology
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals.
Manuscripts should be submitted to: http://GENP.edmgr.com. Choose “Evolvable Hardware” as the article type when submitting.
Springer offers authors, editors and reviewers of Genetic Programming and Evolvable Machines a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscript with straightforward log-in and submission procedures, and it supports a wide range of submission file formats.
== Important Dates:
Paper submission deadline: Sept, 1, 2010
Notification of acceptance: Oct 8, 2010
Final manuscript: Oct 29, 2010

CFP: Special Issue on Evolvable Hardware Challenges

Call for Papers: Special Issue on Evolvable Hardware ChallengesJournal: Genetic Programming and Evolvable Machines (pub. by Springer)Guest Editor: Pauline C. Haddow, Norwegian Univ. of Science and TechnologyEditor-in-Chief: Lee Spector, Hampshire Colle…

Call for Papers: Special Issue on Evolvable Hardware Challenges
Journal: Genetic Programming and Evolvable Machines (pub. by Springer)
Guest Editor: Pauline C. Haddow, Norwegian Univ. of Science and Technology
Editor-in-Chief: Lee Spector, Hampshire College
Evolvable Hardware, the application of evolutionary techniques as hardware design techniques, is still in its infancy despite a 15 year lifespan. After the initial excitement in the late 1990s there have been many successes but perhaps not at the rate or to the extent of the original expectations. There are many challenges inherent in Evolvable Hardware that are currently being addressed or need to be addressed so as to unlock the true potential of the field. Such work, together with research on real world applications, will lead to a clearer definition of the field and thus pave a future path for Evolvable Hardware. The aim of this special issue is to provide the reader with contributions that we feel provide strong contributions towards this goal.
Two articles by leading researchers have already been commissioned:
– The Evolution of Standard Cell Libraries for Future Technology Nodes
James Walker, James Hilder & Andy Tyrrell
– An Evolved Anti-Jamming Antenna Beamforming Network
Jason Lohn, Derek Linden & Jonathan Becker
== Open submissions
We encourage submission of high quality papers, both theoretical and practical, describing newer approaches that address key challenges facing Evolvable Hardware today. Application papers that illustrate that Evolvable Hardware can achieve results that are challenging for today’s more traditional hardware design techniques are also sought. In addition, we are interested in contributions that address the computational design challenge in tomorrow’s technologies through the application of bio-inspired techniques. Subjects will include (but are not limited to):
– Evolvable hardware design
– Adaptive hardware
– Evolutionary robotics
– Formal models of bio-inspired hardware
– Generative and developmental approaches
– Real-world applications of evolvable hardware
– Bio-inspired computation on future technology
We encourage all prospective authors to contact the guest editor, at the address below, as early as possible to indicate your intention to submit a paper to this special issue.
Guest Editor:
Pauline C. Haddow pauline@idi.ntnu.no
Dept. of Computer and Information Science
The Norwegian University of Science and Technology
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals.
Manuscripts should be submitted to: http://GENP.edmgr.com. Choose “Evolvable Hardware” as the article type when submitting.
Springer offers authors, editors and reviewers of Genetic Programming and Evolvable Machines a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscript with straightforward log-in and submission procedures, and it supports a wide range of submission file formats.
== Important Dates:
Paper submission deadline: Sept, 1, 2010
Notification of acceptance: Oct 8, 2010
Final manuscript: Oct 29, 2010

CFP: Special Issue on Evolvable Hardware Challenges

Call for Papers: Special Issue on Evolvable Hardware ChallengesJournal: Genetic Programming and Evolvable Machines (pub. by Springer)Guest Editor: Pauline C. Haddow, Norwegian Univ. of Science and TechnologyEditor-in-Chief: Lee Spector, Hampshire Colle…

Call for Papers: Special Issue on Evolvable Hardware Challenges
Journal: Genetic Programming and Evolvable Machines (pub. by Springer)
Guest Editor: Pauline C. Haddow, Norwegian Univ. of Science and Technology
Editor-in-Chief: Lee Spector, Hampshire College
Evolvable Hardware, the application of evolutionary techniques as hardware design techniques, is still in its infancy despite a 15 year lifespan. After the initial excitement in the late 1990s there have been many successes but perhaps not at the rate or to the extent of the original expectations. There are many challenges inherent in Evolvable Hardware that are currently being addressed or need to be addressed so as to unlock the true potential of the field. Such work, together with research on real world applications, will lead to a clearer definition of the field and thus pave a future path for Evolvable Hardware. The aim of this special issue is to provide the reader with contributions that we feel provide strong contributions towards this goal.
Two articles by leading researchers have already been commissioned:
– The Evolution of Standard Cell Libraries for Future Technology Nodes
James Walker, James Hilder & Andy Tyrrell
– An Evolved Anti-Jamming Antenna Beamforming Network
Jason Lohn, Derek Linden & Jonathan Becker
== Open submissions
We encourage submission of high quality papers, both theoretical and practical, describing newer approaches that address key challenges facing Evolvable Hardware today. Application papers that illustrate that Evolvable Hardware can achieve results that are challenging for today’s more traditional hardware design techniques are also sought. In addition, we are interested in contributions that address the computational design challenge in tomorrow’s technologies through the application of bio-inspired techniques. Subjects will include (but are not limited to):
– Evolvable hardware design
– Adaptive hardware
– Evolutionary robotics
– Formal models of bio-inspired hardware
– Generative and developmental approaches
– Real-world applications of evolvable hardware
– Bio-inspired computation on future technology
We encourage all prospective authors to contact the guest editor, at the address below, as early as possible to indicate your intention to submit a paper to this special issue.
Guest Editor:
Pauline C. Haddow pauline@idi.ntnu.no
Dept. of Computer and Information Science
The Norwegian University of Science and Technology
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals.
Manuscripts should be submitted to: http://GENP.edmgr.com. Choose “Evolvable Hardware” as the article type when submitting.
Springer offers authors, editors and reviewers of Genetic Programming and Evolvable Machines a web-enabled online manuscript submission and review system. Our online system offers authors the ability to track the review process of their manuscript with straightforward log-in and submission procedures, and it supports a wide range of submission file formats.
== Important Dates:
Paper submission deadline: Sept, 1, 2010
Notification of acceptance: Oct 8, 2010
Final manuscript: Oct 29, 2010

Evolutionary computation in Communications of the ACM

The latest Communications of the ACM includes an article on “Automatic Program Repair with Evolutionary Computation” by Westley Weimer, Stephanie Forrest, Claire Le Goues, and ThanhVu Nguyen. This article is based on very nice work which, as noted last…

The latest Communications of the ACM includes an article on “Automatic Program Repair with Evolutionary Computation” by Westley Weimer, Stephanie Forrest, Claire Le Goues, and ThanhVu Nguyen. This article is based on very nice work which, as noted last summer on this blog, won the top prize in the Human-Competitive Results Competition (the “Humies”) at GECCO-2009.

(Hat tip to Bill Langdon.)

Human-competitive results produced by genetic programming

Abstract  Genetic programming has now been used to produce at least 76 instances of results that are competitive with human-produced
results. These human-competitive results come from a wide variety of fields, including quantum computing cir…

Abstract  

Genetic programming has now been used to produce at least 76 instances of results that are competitive with human-produced
results. These human-competitive results come from a wide variety of fields, including quantum computing circuits, analog
electrical circuits, antennas, mechanical systems, controllers, game playing, finite algebras, photonic systems, image recognition,
optical lens systems, mathematical algorithms, cellular automata rules, bioinformatics, sorting networks, robotics, assembly
code generation, software repair, scheduling, communication protocols, symbolic regression, reverse engineering, and empirical
model discovery. This paper observes that, despite considerable variation in the techniques employed by the various researchers
and research groups that produced these human-competitive results, many of the results share several common features. Many
of the results were achieved by using a developmental process and by using native representations regularly used by engineers
in the fields involved. The best individual in the initial generation of the run of genetic programming often contains only
a small number of operative parts. Most of the results that duplicated the functionality of previously issued patents were
novel solutions, not infringing solutions. In addition, the production of human-competitive results, as well as the increased
intricacy of the results, are broadly correlated to increased availability of computing power tracked by Moore’s law. The
paper ends by predicting that the increased availability of computing power (through both parallel computing and Moore’s law)
should result in the production, in the future, of an increasing flow of human-competitive results, as well as more intricate
and impressive results.

  • Content Type Journal Article
  • Pages 251-284
  • DOI 10.1007/s10710-010-9112-3
  • Authors
    • John R. Koza, Stanford University Department of Electrical Engineering Stanford CA 94305 USA

#gptp on twitter

Interesting presentations and discussions taking place at the Genetic Programming Theory and Practice workshop in Ann Arbor, and a couple of people are tweeting highlights. Search for #gptp at twitter.com to see what has been going on.

Interesting presentations and discussions taking place at the Genetic Programming Theory and Practice workshop in Ann Arbor, and a couple of people are tweeting highlights. Search for #gptp at twitter.com to see what has been going on.

Multi-stage fuzzy evaluation in evolutionary robot vision for face detection

Abstract  This paper proposes a method of evolutionary robot vision based on a local genetic algorithm based on clustering (LGAC) and
multi-stage fuzzy evaluation. In order to improve the communication capability of human-friendly partner ro…

Abstract  

This paper proposes a method of evolutionary robot vision based on a local genetic algorithm based on clustering (LGAC) and
multi-stage fuzzy evaluation. In order to improve the communication capability of human-friendly partner robots, the human
face should be extracted as correctly as possible. First, we discuss the concept of evolutionary robot vision in dynamic environments.
Next, we propose growing neural gas for preprocessing as a bottom–up processing, and local genetic algorithm based on clustering
for template matching in human face detection as a top–down processing. In order to improve the performance of the human face
detection, we use multi-stage fuzzy evaluation for evaluating the degree of human face. Finally, we show several experimental
results and discuss the effectiveness of the proposed method.

  • Content Type Journal Article
  • DOI 10.1007/s12065-010-0038-8
  • Authors
    • Akihiro Yorita, Tokyo Metropolitan University Graduate School of System Design Tokyo Japan
    • Naoyuki Kubota, Tokyo Metropolitan University Graduate School of System Design Tokyo Japan

Friction-based sorting

Abstract  Since computer processing mainly depends on sorting and searching methods, a key problem is how to design efficient algorithms
in order to solve such problems. This paper describes a new nature-inspired mechanism (called Friction-b…

Abstract  

Since computer processing mainly depends on sorting and searching methods, a key problem is how to design efficient algorithms
in order to solve such problems. This paper describes a new nature-inspired mechanism (called Friction-based Sorting) capable
of sorting a given set of numbers. The main idea behind this mechanism is to associate a ball (whose weight is proportional
to the considered number) to each number. All the balls being allowed to fall in the presence of friction, the heaviest ball
(which corresponds to the greatest input number) will reach the ground first and the lightest ball (associated with the smallest
number) will reach the ground last. The proposed mechanism is analyzed, together with its strengths and weaknesses.

  • Content Type Journal Article
  • Pages 527-539
  • DOI 10.1007/s11047-010-9201-5
  • Authors
    • Laura Dioşan, Department of Computer Science Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania
    • Mihai Oltean, Department of Computer Science Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania