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ORCIDGECCO 2012: Philadelphia, PA, USA - Companion Material
- Terence Soule, Jason H. Moore:
Genetic and Evolutionary Computation Conference, GECCO '12, Philadelphia, PA, USA, July 7-11, 2012, Companion Material Proceedings. ACM 2012, ISBN 978-1-4503-1178-6
Green and efficient energy applications of genetic and evolutionary computation (GreenGEC)
- Stephan Hutterer, Michael Affenzeller
, Franz Auinger:
Evolutionary optimization of multi-agent controlstrategies for electric vehicle charging. 3-10 - Jamal Toutouh, Enrique Alba:
Green OLSR in VANETs with differential evolution. 11-18 - Dung H. Phan, Junichi Suzuki, Ray Carroll, Sasitharan Balasubramaniam, William Donnelly, Dmitri Botvich:
Evolutionary multiobjective optimization for green clouds. 19-26 - Evellyn S. Cavalcante, André L. L. de Aquino, Gisele L. Pappa, Antonio Alfredo Ferreira Loureiro:
Roadside unit deployment for information dissemination in a VANET: an evolutionary approach. 27-34 - Pavel Krömer, Lukás Prokop, Václav Snásel, Stanislav Misák, Jan Platos, Ajith Abraham:
Evolutionary prediction of photovoltaic power plant energy production. 35-42
Real world applications of evolutionary computation
- Nikhil Padhye:
Evolutionary approaches for real world applications in 21st century. 43-48
Automated design of algorithms
- Nuno Lourenço, Francisco Baptista Pereira, Ernesto Costa:
Evolving evolutionary algorithms. 51-58 - Brian W. Goldman, Daniel R. Tauritz:
Supportive coevolution. 59-66 - John Robert Woodward, Jerry Swan:
The automatic generation of mutation operators for genetic algorithms. 67-74 - Kyle Ira Harrington, Lee Spector, Jordan B. Pollack, Una-May O'Reilly:
Autoconstructive evolution for structural problems. 75-82
Evolutionary computation software systems
- François-Michel De Rainville, Félix-Antoine Fortin, Marc-André Gardner, Marc Parizeau, Christian Gagné:
DEAP: a python framework for evolutionary algorithms. 85-92 - Fernando E. B. Otero, Tom Castle, Colin G. Johnson:
EpochX: genetic programming in java with statistics and event monitoring. 93-100 - Michael Kommenda, Gabriel Kronberger, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller:
On the architecture and implementation of tree-based genetic programming in HeuristicLab. 101-108 - Juan Julián Merelo Guervós, Carlos M. Fernandes, Antonio Miguel Mora, Anna Isabel Esparcia-Alcázar:
SofEA: a pool-based framework for evolutionary algorithms using CouchDB. 109-116 - Youssef S. G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni:
libCudaOptimize: an open source library of GPU-based metaheuristics. 117-124 - Andreas Beham, Erik Pitzer, Stefan Wagner, Michael Affenzeller, Klaus Altendorfer, Thomas Felberbauer, Martin Bäck:
Integration of flexible interfaces in optimization software frameworks for simulation-based optimization. 125-132 - Brian D. Connelly, Luis Zaman, Philip K. McKinley:
The SEEDS platform for evolutionary and ecological simulations. 133-140 - Andreas Scheibenpflug, Stefan Wagner, Erik Pitzer, Michael Affenzeller:
Optimization knowledge base: an open database for algorithm and problem characteristics and optimization results. 141-148 - Felix Dobslaw:
INPUT: the intelligent parameter utilization tool. 149-156
Black box optimization benchmarking 2012 (BBOB 2012)
- Tianjun Liao, Daniel Molina, Thomas Stützle, Marco Antonio Montes de Oca, Marco Dorigo:
An ACO algorithm benchmarked on the BBOB noiseless function testbed. 159-166 - Yao-Chen Chuang, Chyi-Tsong Chen:
Black-box optimization benchmarking for noiseless function testbed using a direction-based RCGA. 167-174 - Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed. 175-182 - Vinícius Veloso de Melo:
Benchmarking the multi-view differential evolution on the noiseless BBOB-2012 function testbed. 183-188 - Petr Posík, Václav Klema:
Benchmarking the differential evolution with adaptive encoding on noiseless functions. 189-196 - Petr Posík, Václav Klema:
JADE, an adaptive differential evolution algorithm, benchmarked on the BBOB noiseless testbed. 197-204 - Tom Schaul:
Benchmarking separable natural evolution strategies on the noiseless and noisy black-box optimization testbeds. 205-212 - Tom Schaul:
Benchmarking exponential natural evolution strategies on the noiseless and noisy black-box optimization testbeds. 213-220 - Tom Schaul:
Investigating the impact of adaptation sampling in natural evolution strategies on black-box optimization testbeds. 221-228 - Tom Schaul:
Benchmarking natural evolution strategies with adaptation sampling on the noiseless and noisy black-box optimization testbeds. 229-236 - Tom Schaul:
Comparing natural evolution strategies to BIPOP-CMA-ES on noiseless and noisy black-box optimization testbeds. 237-244 - Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris:
MEMPSODE: an empirical assessment of local search algorithm impact on a memetic algorithm using noiseless testbed. 245-252 - Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris:
MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization framework. 253-260 - Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed. 261-268 - Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Black-box optimization benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 noiseless testbed. 269-276 - Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed. 277-284 - Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbed. 285-290 - Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
On the impact of active covariance matrix adaptation in the CMA-ES with mirrored mutations and small initial population size on the noiseless BBOB testbed. 291-296 - Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed. 297-304
Evolutionary computation and multi-agent systems and simulation (ECoMASS)
- Xue-Feng Zhang, Miyuki Koshimura, Hiroshi Fujita, Ryuzo Hasegawa:
Hybrid particle swarm optimization and convergence analysis for scheduling problems. 307-314 - M. Ehsan Shafiee, Emily M. Zechman:
Integrating evolutionary computation and sociotechnical simulation for flushing contaminated water distribution systems. 315-322 - C. Jason Woodard, Eric K. Clemons:
Modeling technology evolution using generalized genotype-phenotype maps. 323-330 - Rinde R. S. van Lon, Tom Holvoet, Greet Vanden Berghe, Tom Wenseleers, Jürgen Branke:
Evolutionary synthesis of multi-agent systems for dynamic dial-a-ride problems. 331-336 - Sjors van Berkel, Daniel Turi, Andrei Pruteanu, Stefan Dulman:
Automatic discovery of algorithms for multi-agent systems. 337-344 - A. Pinar Ozisik, Kyle Ira Harrington:
The effects of tags on the evolution of honest signaling. 345-352
Evolutionary developmental robotics
- Stéphane Doncieux, Yaochu Jin, Jean-Baptiste Mouret:
Evo-devo-robo workshop program. 355-356 - Michal Joachimczak, Taras Kowaliw, René Doursat, Borys Wróbel:
Evolving morphologies and controllers for soft-bodied multicellular animats using gene regulatory networks and artificial embryogenesis. 357-360 - Michael E. Palmer, Andrew K. Chou:
An artificial visual cortex drives behavioral evolution in co-evolved predator and prey robots. 361-364 - Maja Rudinac, Boris Lenseigne, Pieter P. Jonker:
Empirical mode decomposition for saliency detection. 365-368 - Charles Ollion, Tony Pinville, Stéphane Doncieux:
Emergence of memory in neuroevolution: impact of selection pressures. 369-372
15th international workshop on learning classifier systems (ICWLS)
- Po-Ming Lee, Yun Teng, Tzu-Chien Hsiao:
XCSF for prediction on emotion induced by image based on dimensional theory of emotion. 375-382
Understanding problems (GECCO-UP)
- Renato Tinós:
Analysing fitness landscape changes in evolutionary robots. 385-392 - Erik Pitzer, Andreas Beham, Michael Affenzeller:
Generic hardness estimation using fitness and parameter landscapes applied to robust taboo search and the quadratic assignment problem. 393-400 - Lee Spector:
Assessment of problem modality by differential performance of lexicase selection in genetic programming: a preliminary report. 401-408 - Deon Garrett:
A call for collaborative landscape analysis. 409-416 - Emma Tosch, Lee Spector:
Achieving COSMOS: a metric for determining when to give up and when to reach for the stars. 417-424 - Kent McClymont, David J. Walker, Max Dupenois:
The lay of the land: a brief survey of problem understanding. 425-432
Visualisation methods for genetic and evolutionary computation (VizGEC)
- Carlos Miguel Fernandes, Antonio Miguel Mora, Juan Julián Merelo Guervós, Francisco Fernández, Agostinho C. Rosa:
Generating colored 2-dimensional representations of sleep EEG with the KANTS clustering algorithm. 435-442 - Kent McClymont:
Biaxial box plots and ordered trial ranks for visualizing large sets of experimental results. 443-450 - David J. Walker, Jonathan E. Fieldsend, Richard M. Everson:
Visualising many-objective populations. 451-458
Evolutionary music
- Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Nikolaos Kanellopoulos, Michael N. Vrahatis:
Genetic evolution of L and FL-systems for the production of rhythmic sequences. 461-468 - Brigitte Rafael, Michael Affenzeller, Stefan Wagner:
An adaption of the schema theorem to various crossover and mutation operators for a music segmentation problem. 469-476 - Gustavo Reis, Francisco Fernández de Vega, Aníbal J. S. Ferreira:
Evolutionary algorithms and automatic transcription of music. 477-484
Symbolic regression and modeling workshop
- Nassima Aleb, Samir Kechid:
A new framework for scalable genetic programming. 487-492 - Erik Hemberg, Kalyan Veeramachaneni, Una-May O'Reilly:
Graphical models and what they reveal about GP when it solves a symbolic regression problem. 493-494 - Thomas Bartz-Beielstein, Oliver Flasch, Martin Zaefferer:
Sequential parameter optimization for symbolic regression. 495-496 - Mark E. Kotanchek:
Robust function discovery and feature selection for life sciences and engineering. 497-498
Medical applications of genetic and evolutionary computation workshop (MedGEC)
- Arman Darvish, Shahryar Rahnamayan, Zaid Salami Mohamad:
Interactive differential evolution for prostate ultrasound image thresholding. 501-508 - Stefano Cagnoni, Oscar Cordón, Pablo Mesejo, Youssef S. G. Nashed, Roberto Ugolotti:
First results and future developments of the MIBISOC Project in the IBISlab of the university of parma. 509-516 - Laurent Dumas, Pierre Boutouyrie, Erwan Bozec:
An optimal reconstruction of the human arterial tree from doppler echotracking measurements. 517-522 - Tim Rogalsky:
Bézier control parameterization for evolutionary optimization in disease models. 523-530 - Vitoantonio Bevilacqua, Giuseppe Filograno, Michele Fiorentino, Antonio E. Uva:
Early diagnosis of lung tumors by genetically optimized 3D-metaball malignancy metric. 531-538 - Maxine Tan, Rudi Deklerck, Bart Jansen, Jan Cornelis:
Analysis of a feature-deselective neuroevolution classifier (FD-NEAT) in a computer-aided lung nodule detection system for CT images. 539-546
Undergraduate workshop
- Omri Bernstein:
Flea market simulator: a market simulator for experiments on the computational evolution of trading strategies for economic agents. 549-554 - David J. Gagne:
GAMIV: a genetic algorithm for identifying variable-lengthmotifs in noncoding DNA. 555-558 - Amanda English, Holly Petruso, Chong Wang:
Grammatical evolution decision trees for trio designs. 559-562 - Jeffrey Thompson:
Trade-offs using GAMID for the inference of DNA motifs that are represented in only a subset of sequences of interest. 563-568 - Kwaku Yeboah-Antwi:
Evolving software applications using genetic programming - PushCalc: the evolved calculator. 569-572 - Yifeng Gao, Dan Lv:
Principal coordinate strategy: a novel adaptive control strategy for differential evolution. 573-578 - Timothy J. Kuehn:
Evolutionary fabrication: a system of autonomous invention. 579-584
Graduate workshop
- Miha Mlakar, Tea Tusar, Bogdan Filipic:
Discrete vs. continuous multiobjective optimization of continuous casting of steel. 587-590 - Maxim Buzdalov, Andrey Sokolov:
Evolving EFSMs solving a path-planning problem by genetic programming. 591-594 - Skylar W. Marvel, Alison A. Motsinger-Reif:
Grammatical evolution support vector machines for predicting human genetic disease association. 595-598 - Sen Han:
Batting order optimization by genetic algorithm. 599-602 - Daniil Chivilikhin, Vladimir Ulyantsev, Fedor Tsarev:
Test-based extended finite-state machines induction with evolutionary algorithms and ant colony optimization. 603-606 - François-Michel De Rainville:
Robotic swarm cooperation by co-adaptation. 607-610 - Kristopher Hoover, Rachel Marceau, Tyndall Harris, David M. Reif, Alison A. Motsinger-Reif:
A comparison of GE optimized neural networks and decision trees. 611-614
Late breaking abstracts workshop
- Du-Mim Yoon, Kyung-Joong Kim:
Comparison of scoring methods for interactive evolutionary computation based image retouching system. 617-618 - Claudio Comis Da Ronco, Ernesto Benini:
GeDEA-II: a simplex-crossover based multi objective evolutionary algorithm including the genetic diversity asobjective. 619-620 - Mikhail A. Semenov, Pierre Stratonowitch:
Application of evolutionary algorithms for model calibration. 621-622 - Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong:
Experiences on memetic computation for locating transition states in biochemical applications. 623-624 - Shreya Mukherjee, Margaret J. Eppstein:
Differential evolution of constants in genetic programming improves efficacy and bloat. 625-626 - Paul Beliveau, Gregory Hornby, Josh C. Bongard:
Interactive simulated robot construction and controller evolution. 627-628 - Shigeyoshi Tsutsui, Noriyuki Fujimoto:
On the effect of using multiple GPUs in solving QAPs with CUDA. 629-630 - Amit Benbassat, Moshe Sipper:
Evolving players that use selective game-tree search with genetic programming. 631-632 - Martin Pilát, Roman Neruda:
A surrogate multiobjective evolutionary strategy with local search and pre-selection. 633-634 - Susanne Zaglauer:
The evolutionary algorithm SAMOA with use of dynamic constraints. 635-636 - Susanne Zaglauer:
The evolutionary algorithm SAMOA with use of design of experiments. 637-638 - Michael Porta, Bryant A. Julstrom:
Evolving instances of unconstrained binary quadratic programming that challenge a tabu search heuristic. 639-640 - Hyun-Soo Park, Kyung-Joong Kim:
Automatic python programming using stack-based genetic programming. 641-642 - Cyril Fonlupt, Denis Robilliard:
Combining programs to counter code disruption. 643-644 - Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Martin Zaefferer:
SPOT applied to non-stochastic optimization problems: an experimental study. 645-646 - Rupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez:
Generalized compressed network search. 647-648 - Tsung-Yu Ho, Tian-Li Yu:
A linkage-learning niching in estimation of distribution algorithm. 649-650 - Amit Banerjee:
Density-based evolutionary outlier detection. 651-652 - Juan C. Quiroz, Amit Banerjee, Sushil J. Louis:
3-D modeling using collaborative evolution. 653-654 - David Iclanzan, Noémi Gaskó, D. Dumitrescu:
Evolving mixed nash equilibria for bimatrix games. 655-656 - Thomas Raway, J. David Schaffer, Kenneth J. Kurtz, Hiroki Sayama:
Evolving data sets to highlight the performance differences between machine learning classifiers. 657-658 - Shane Eric Celis, Josh C. Bongard:
Not all physics simulators can be wrong in the same way. 659-660 - Sahbi Ben Ismail, François Legras, Gilles Coppin:
A new interactive evolutionary algorithm for the vehicle routing problem. 661-668
Introductory tutorials
- Erik D. Goodman:
Introduction to genetic algorithms. 671-692 - Una-May O'Reilly:
Genetic programming: a tutorial introduction. 693-710 - Thomas Bäck:
Evolution strategies: basic introduction. 711-736 - Kenneth A. De Jong:
Evolutionary computation: a unified approach. 737-750 - Dimo Brockhoff, Kalyanmoy Deb:
GECCO 2012 tutorial on evolutionary multiobjective optimization. 751-776 - Martin Pelikan:
Probabilistic model-building genetic algorithms. 777-804 - Kenneth O. Stanley:
Evolving neural networks. 805-826
Advanced tutorials
- Anne Auger, Nikolaus Hansen:
Tutorial CMA-ES: evolution strategies and covariance matrix adaptation. 827-848 - Carlos Artemio Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. 849-872