Category: GPEM

GPEM 12(2) now available online

The second issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:”Semantically-based crossover in genetic programming: application to real-valued symbolic regression”by Nguyen Quang Uy, Ng…

The second issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:

“Semantically-based crossover in genetic programming: application to real-valued symbolic regression”
by Nguyen Quang Uy, Nguyen Xuan Hoai, Michael O’Neill, R. I. McKay & Edgar Galván-López
“Have your spaghetti and eat it too: evolutionary algorithmics and post-evolutionary analysis”
by Kfir Wolfson, Shay Zakov, Moshe Sipper & Michal Ziv-Ukelson
“Tracer spectrum: a visualisation method for distributed evolutionary computation”
by Michael O’Neill, Anthony Brabazon & Erik Hemberg
Software Review: “Eureqa: software review”
by Renáta Dubcáková
Book Review: “Hitoshi Iba, Topon Kumar Paul, Yoshohiko Hasegawa: Applied genetic programming and machine learning”
by Kalyan Veeramachaneni

GPEM 12(2) now available online

The second issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:”Semantically-based crossover in genetic programming: application to real-valued symbolic regression”by Nguyen Quang Uy, Ng…

The second issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:

“Semantically-based crossover in genetic programming: application to real-valued symbolic regression”
by Nguyen Quang Uy, Nguyen Xuan Hoai, Michael O’Neill, R. I. McKay & Edgar Galván-López
“Have your spaghetti and eat it too: evolutionary algorithmics and post-evolutionary analysis”
by Kfir Wolfson, Shay Zakov, Moshe Sipper & Michal Ziv-Ukelson
“Tracer spectrum: a visualisation method for distributed evolutionary computation”
by Michael O’Neill, Anthony Brabazon & Erik Hemberg
Software Review: “Eureqa: software review”
by Renáta Dubcáková
Book Review: “Hitoshi Iba, Topon Kumar Paul, Yoshohiko Hasegawa: Applied genetic programming and machine learning”
by Kalyan Veeramachaneni

GPEM 12(1) now available online

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:”Editorial introduction”by Lee Spector”Acknowledgement”by Lee Spector”Expert-driven genetic algorithms for simulating evalua…

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:

“Editorial introduction”
by Lee Spector
“Acknowledgement”
by Lee Spector
“Expert-driven genetic algorithms for simulating evaluation functions”
by Omid David-Tabibi, Moshe Koppel & Nathan S. Netanyahu
“Autonomous experimental design optimization of a flapping wing”
by Markus Olhofer, Dilyana Yankulova & Bernhard Sendhoff
“Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis”
by Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo & Noboru Ohnishi
Book Review: “Justin Lee: Morphogenetic Evolvable Hardware”
by Martin A. Trefzer
Book Review: “Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach”
by John Woodward
Book Review: “Arthur K. Kordon: Applying computational intelligence: how to create value”
by Guillermo Leguizamón
“Erratum to: Stochastic optimization of a biologically plausible spino-neuromuscular system model”
by Stanley Gotshall, Kathy Browder, Jessica Sampson, Terence Soule & Richard Wells
“Erratum to: Dario Floreano and Claudio Mattiussi: Bio-inspired artificial intelligence: theories, methods, and technologies”
by Ivan Garibay

GPEM 12(1) now available online

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:”Editorial introduction”by Lee Spector”Acknowledgement”by Lee Spector”Expert-driven genetic algorithms for simulating evalua…

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:

“Editorial introduction”
by Lee Spector
“Acknowledgement”
by Lee Spector
“Expert-driven genetic algorithms for simulating evaluation functions”
by Omid David-Tabibi, Moshe Koppel & Nathan S. Netanyahu
“Autonomous experimental design optimization of a flapping wing”
by Markus Olhofer, Dilyana Yankulova & Bernhard Sendhoff
“Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis”
by Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo & Noboru Ohnishi
Book Review: “Justin Lee: Morphogenetic Evolvable Hardware”
by Martin A. Trefzer
Book Review: “Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach”
by John Woodward
Book Review: “Arthur K. Kordon: Applying computational intelligence: how to create value”
by Guillermo Leguizamón
“Erratum to: Stochastic optimization of a biologically plausible spino-neuromuscular system model”
by Stanley Gotshall, Kathy Browder, Jessica Sampson, Terence Soule & Richard Wells
“Erratum to: Dario Floreano and Claudio Mattiussi: Bio-inspired artificial intelligence: theories, methods, and technologies”
by Ivan Garibay

GPEM 12(1) now available online

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:”Editorial introduction”by Lee Spector”Acknowledgement”by Lee Spector”Expert-driven genetic algorithms for simulating evalua…

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:

“Editorial introduction”
by Lee Spector
“Acknowledgement”
by Lee Spector
“Expert-driven genetic algorithms for simulating evaluation functions”
by Omid David-Tabibi, Moshe Koppel & Nathan S. Netanyahu
“Autonomous experimental design optimization of a flapping wing”
by Markus Olhofer, Dilyana Yankulova & Bernhard Sendhoff
“Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis”
by Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo & Noboru Ohnishi
Book Review: “Justin Lee: Morphogenetic Evolvable Hardware”
by Martin A. Trefzer
Book Review: “Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach”
by John Woodward
Book Review: “Arthur K. Kordon: Applying computational intelligence: how to create value”
by Guillermo Leguizamón
“Erratum to: Stochastic optimization of a biologically plausible spino-neuromuscular system model”
by Stanley Gotshall, Kathy Browder, Jessica Sampson, Terence Soule & Richard Wells
“Erratum to: Dario Floreano and Claudio Mattiussi: Bio-inspired artificial intelligence: theories, methods, and technologies”
by Ivan Garibay

GPEM 12(1) now available online

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:”Editorial introduction”by Lee Spector”Acknowledgement”by Lee Spector”Expert-driven genetic algorithms for simulating evalua…

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:

“Editorial introduction”
by Lee Spector
“Acknowledgement”
by Lee Spector
“Expert-driven genetic algorithms for simulating evaluation functions”
by Omid David-Tabibi, Moshe Koppel & Nathan S. Netanyahu
“Autonomous experimental design optimization of a flapping wing”
by Markus Olhofer, Dilyana Yankulova & Bernhard Sendhoff
“Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis”
by Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo & Noboru Ohnishi
Book Review: “Justin Lee: Morphogenetic Evolvable Hardware”
by Martin A. Trefzer
Book Review: “Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach”
by John Woodward
Book Review: “Arthur K. Kordon: Applying computational intelligence: how to create value”
by Guillermo Leguizamón
“Erratum to: Stochastic optimization of a biologically plausible spino-neuromuscular system model”
by Stanley Gotshall, Kathy Browder, Jessica Sampson, Terence Soule & Richard Wells
“Erratum to: Dario Floreano and Claudio Mattiussi: Bio-inspired artificial intelligence: theories, methods, and technologies”
by Ivan Garibay

GPEM 12(1) now available online

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:”Editorial introduction”by Lee Spector”Acknowledgement”by Lee Spector”Expert-driven genetic algorithms for simulating evalua…

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:

“Editorial introduction”
by Lee Spector
“Acknowledgement”
by Lee Spector
“Expert-driven genetic algorithms for simulating evaluation functions”
by Omid David-Tabibi, Moshe Koppel & Nathan S. Netanyahu
“Autonomous experimental design optimization of a flapping wing”
by Markus Olhofer, Dilyana Yankulova & Bernhard Sendhoff
“Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis”
by Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo & Noboru Ohnishi
Book Review: “Justin Lee: Morphogenetic Evolvable Hardware”
by Martin A. Trefzer
Book Review: “Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach”
by John Woodward
Book Review: “Arthur K. Kordon: Applying computational intelligence: how to create value”
by Guillermo Leguizamón
“Erratum to: Stochastic optimization of a biologically plausible spino-neuromuscular system model”
by Stanley Gotshall, Kathy Browder, Jessica Sampson, Terence Soule & Richard Wells
“Erratum to: Dario Floreano and Claudio Mattiussi: Bio-inspired artificial intelligence: theories, methods, and technologies”
by Ivan Garibay

GPEM 12(1) now available online

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:”Editorial introduction”by Lee Spector”Acknowledgement”by Lee Spector”Expert-driven genetic algorithms for simulating evalua…

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:

“Editorial introduction”
by Lee Spector
“Acknowledgement”
by Lee Spector
“Expert-driven genetic algorithms for simulating evaluation functions”
by Omid David-Tabibi, Moshe Koppel & Nathan S. Netanyahu
“Autonomous experimental design optimization of a flapping wing”
by Markus Olhofer, Dilyana Yankulova & Bernhard Sendhoff
“Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis”
by Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo & Noboru Ohnishi
Book Review: “Justin Lee: Morphogenetic Evolvable Hardware”
by Martin A. Trefzer
Book Review: “Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach”
by John Woodward
Book Review: “Arthur K. Kordon: Applying computational intelligence: how to create value”
by Guillermo Leguizamón
“Erratum to: Stochastic optimization of a biologically plausible spino-neuromuscular system model”
by Stanley Gotshall, Kathy Browder, Jessica Sampson, Terence Soule & Richard Wells
“Erratum to: Dario Floreano and Claudio Mattiussi: Bio-inspired artificial intelligence: theories, methods, and technologies”
by Ivan Garibay

GPEM 12(1) now available online

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:”Editorial introduction”by Lee Spector”Acknowledgement”by Lee Spector”Expert-driven genetic algorithms for simulating evalua…

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:

“Editorial introduction”
by Lee Spector
“Acknowledgement”
by Lee Spector
“Expert-driven genetic algorithms for simulating evaluation functions”
by Omid David-Tabibi, Moshe Koppel & Nathan S. Netanyahu
“Autonomous experimental design optimization of a flapping wing”
by Markus Olhofer, Dilyana Yankulova & Bernhard Sendhoff
“Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis”
by Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo & Noboru Ohnishi
Book Review: “Justin Lee: Morphogenetic Evolvable Hardware”
by Martin A. Trefzer
Book Review: “Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach”
by John Woodward
Book Review: “Arthur K. Kordon: Applying computational intelligence: how to create value”
by Guillermo Leguizamón
“Erratum to: Stochastic optimization of a biologically plausible spino-neuromuscular system model”
by Stanley Gotshall, Kathy Browder, Jessica Sampson, Terence Soule & Richard Wells
“Erratum to: Dario Floreano and Claudio Mattiussi: Bio-inspired artificial intelligence: theories, methods, and technologies”
by Ivan Garibay

GPEM 12(1) now available online

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:”Editorial introduction”by Lee Spector”Acknowledgement”by Lee Spector”Expert-driven genetic algorithms for simulating evalua…

The first issue of volume 12 of Genetic Programming and Evolvable Machines is now available online, with the following articles:

“Editorial introduction”
by Lee Spector
“Acknowledgement”
by Lee Spector
“Expert-driven genetic algorithms for simulating evaluation functions”
by Omid David-Tabibi, Moshe Koppel & Nathan S. Netanyahu
“Autonomous experimental design optimization of a flapping wing”
by Markus Olhofer, Dilyana Yankulova & Bernhard Sendhoff
“Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis”
by Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo & Noboru Ohnishi
Book Review: “Justin Lee: Morphogenetic Evolvable Hardware”
by Martin A. Trefzer
Book Review: “Gisele L. Pappa, Alex Freitas: Automating the design of data mining algorithms, an evolutionary computation approach”
by John Woodward
Book Review: “Arthur K. Kordon: Applying computational intelligence: how to create value”
by Guillermo Leguizamón
“Erratum to: Stochastic optimization of a biologically plausible spino-neuromuscular system model”
by Stanley Gotshall, Kathy Browder, Jessica Sampson, Terence Soule & Richard Wells
“Erratum to: Dario Floreano and Claudio Mattiussi: Bio-inspired artificial intelligence: theories, methods, and technologies”
by Ivan Garibay