@conference {131,
	title = {Fitness Diversification in the Service of Fitness Optimization: a Comparison Study},
	booktitle = {Genetic and Evolutionary Computation Conference Companion (GECCO {\textquoteright}22)},
	year = {2022},
	publisher = {ACM},
	organization = {ACM},
	address = {Boston, USA},
	abstract = {Blindly chasing after fitness is not the best strategy for optimization of hard problems, as it usually leads to premature convergence and getting stuck in low-quality local optima. Several techniques such as niching or quality-diversity algorithms have been established that aim to alleviate the selective pressure present in evolutionary algorithms and to allow for greater exploration. Yet another group of methods which can be used for that purpose are fitness diversity methods. In this work we compare the standard single-population evolution against three fitness diversity methods: fitness uniform selection scheme (FUSS), fitness uniform deletion scheme (FUDS), and convection selection (ConvSel). We compare these methods on both mathematical and evolutionary design benchmarks over multiple parametrizations. We find that given the same computation time, fitness diversity methods regularly surpass the performance of the standard single-population evolutionary algorithm.},
	doi = {10.1145/3520304.3528949},
	url = {http://www.framsticks.com/files/common/FitnessDiversity.pdf},
	author = {Kamil Basiukajc and Maciej Komosinski and Konrad Miazga}
}
@conference {102,
	title = {A Flexible Dissimilarity Measure for Active and Passive 3D Structures and Its Application in the Fitness{\textendash}Distance Analysis},
	booktitle = {Applications of Evolutionary Computation},
	year = {2019},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Evolutionary design of 3D structures {\textendash} either static structures, or equipped with some sort of a control system {\textendash} is one of the hardest optimization tasks. One of the reasons are rugged fitness landscapes resulting from complex and non-obvious genetic representations of such structures and their genetic operators. This paper investigates global convexity of fitness landscapes in optimization tasks of maximizing velocity and height of both active and passive structures. For this purpose, a new dissimilarity measure for 3D active and passive structures represented as undirected graphs is introduced. The proposed measure is general and flexible {\textendash} any vertex properties can be easily incorporated as dissimilarity components. The new measure was compared against the previously introduced measure in terms of triangle inequality satisfiability, changes in raw measure values and the computational cost. The comparison revealed improvements for triangle inequality and raw values at the expense of increased computational complexity. The investigation of global convexity of the fitness landscape, involving the fitness{\textendash}distance correlation analysis, revealed negative correlation between the dissimilarity of the structures and their fitness for most of the investigated cases.},
	isbn = {978-3-030-16692-2},
	doi = {10.1007/978-3-030-16692-2_8},
	url = {http://www.framsticks.com/files/common/DissimilarityMeasure3DStructuresFitnessDistance.pdf},
	author = {Komosinski, Maciej and Mensfelt, Agnieszka},
	editor = {Kaufmann, Paul and Castillo, Pedro A.}
}
@inbook {Komosinski-and-Ulatowski-2009,
	title = {Framsticks: Creating and Understanding Complexity of Life},
	booktitle = {Artificial Life Models in Software},
	year = {2009},
	pages = {107{\textendash}148},
	publisher = {Springer},
	organization = {Springer},
	edition = {second},
	chapter = {5},
	address = {New York},
	abstract = {This chapter describes Framsticks, a three-dimensional life simulation project. Both mechanical structures ("bodies") and control systems ("brains") of creatures are modeled. It is possible to design various kinds of experiments in this environment, including simple optimization (by evolutionary algorithms), coevolution, open-ended and spontaneous evolution, distinct gene pools and populations, diverse genotype-phenotype mappings, and modeling of species and ecosystems. Framsticks is employed in evolutionary computation, artificial intelligence, neural networks, biology, robotics and simulation, cognitive science, neuroscience, medicine, philosophy, virtual reality, graphics, and art. It is a versatile tool for research and education.},
	url = {http://www.springer.com/978-1-84882-284-9},
	author = {Maciej Komosinski and Szymon Ulatowski},
	editor = {Maciej Komosinski and Andrew Adamatzky}
}
@inbook {Komosinski-2005,
	title = {Framsticks: a platform for modeling, simulating and evolving {3D} creatures},
	booktitle = {Artificial Life Models in Software},
	year = {2005},
	pages = {37{\textendash}66},
	publisher = {Springer},
	organization = {Springer},
	chapter = {2},
	address = {New York}
}
@article {Komosinski-2003,
	title = {The Framsticks system: versatile simulator of 3D agents and their evolution},
	journal = {Kybernetes: The International Journal of Systems \& Cybernetics},
	volume = {32},
	number = {1/2; Special Issue on Artificial Life Software},
	year = {2003},
	pages = {156{\textendash}173},
	keywords = {AL, Behavior, Biology, Dynamics, Robotics, Simulation},
	doi = {10.1108/03684920310452382},
	url = {http://www.framsticks.com/files/common/Komosinski_FramsticksSystem_Kybernetes2003.pdf}
}
@inbook {Komosinski-and-Rotaru-Varga-2000,
	title = {From Directed to Open-Ended Evolution in a Complex Simulation Model},
	booktitle = {Artificial Life VII},
	year = {2000},
	pages = {293{\textendash}299},
	publisher = {MIT Press},
	organization = {MIT Press},
	keywords = {Agents, AL, Simulation, Theory}
}
@conference {Komosinski-and-Ulatowski-1999a,
	title = {Framsticks: sztuczne {\.z}ycie {\textendash} z{\l}o{\.z}ona symulacja stworze{\'n} i ich ewolucji},
	booktitle = {Materia{\l}y konferencyjne III Krajowej Konferencji Algorytmy Ewolucyjne i Optymalizacja Globalna KAEiOG (Proceedings of the National Conference on Evolutionary Computation and Global Optimization)},
	year = {1999},
	month = {May},
	pages = {157{\textendash}166},
	address = {Potok Z{\l}oty},
	keywords = {Agents, AI, AL, Simulation},
	url = {http://www.framsticks.com/files/common/Komosinski_Framsticks_KAEiOG1999.pdf},
	author = {Maciej Komosinski and Szymon Ulatowski}
}
@inbook {Komosinski-and-Ulatowski-1999b,
	title = {Framsticks: towards a simulation of a nature-like world, creatures and evolution},
	booktitle = {Advances in Artificial Life. Lecture Notes in Artificial Intelligence 1674},
	year = {1999},
	pages = {261{\textendash}265},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	keywords = {Agents, AL, Biology, EA, Simulation},
	doi = {10.1007/3-540-48304-7_33},
	url = {http://www.framsticks.com/files/common/Komosinski_FramsticksEvol_ECAL1999.pdf}
}
@conference {Komosinski-and-Ulatowski-1998,
	title = {Framsticks {\textendash} Artificial Life},
	booktitle = {ECML 98 Demonstration and Poster Papers},
	year = {1998},
	pages = {7{\textendash}9},
	publisher = {Chemnitzer Informatik-Berichte},
	organization = {Chemnitzer Informatik-Berichte},
	address = {Chemnitz},
	keywords = {Agents, AL, Simulation}
}
