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A method for constructing evolution equations admitting a master symmetry is proposed. Several examples illustrating the method are presented. It is also noted that for certain evolution equations master symmetries can be useful for…

Exactly Solvable and Integrable Systems · Physics 2009-11-07 F. Finkel , A. S. Fokas

We address the problem of game level repair, which consists of taking a designed but non-functional game level and making it functional. This might consist of ensuring the completeness of the level, reachability of objects, or other…

Artificial Intelligence · Computer Science 2025-06-25 Debosmita Bhaumik , Julian Togelius , Georgios N. Yannakakis , Ahmed Khalifa

Actually, software products are increasing in a fast way and are used in almost all activities of human life. Consequently measuring and evaluating the quality of a software product has become a critical task for many companies. Several…

Software Engineering · Computer Science 2014-12-10 Jose P. Miguel , David Mauricio , Glen Rodriguez

The landscape of computer graphics has undergone significant transformations with the recent advances of differentiable rendering models. These rendering models often rely on heuristic designs that may not fully align with the final…

Computer Vision and Pattern Recognition · Computer Science 2024-12-09 Fangneng Zhan , Hanxue Liang , Yifan Wang , Michael Niemeyer , Michael Oechsle , Adam Kortylewski , Cengiz Oztireli , Gordon Wetzstein , Christian Theobalt

A biologically motivated individual-based framework for evolution in network-structured populations is developed that can accommodate eco-evolutionary dynamics. This framework is used to construct a network birth and death model. The…

Populations and Evolution · Quantitative Biology 2021-03-19 Karan Pattni , Christopher E. Overton , Kieran J. Sharkey

Time evolution of the classification scheme generated by the EqRank algorithm is studied with hep-th citation graph as an example. Intuitive expectations about evolution of an adequate classification scheme for a growing set of objects are…

Data Structures and Algorithms · Computer Science 2007-05-23 G. B. Pivovarov , S. E. Trunov

Feature transformation aims to reconstruct the feature space of raw features to enhance the performance of downstream models. However, the exponential growth in the combinations of features and operations poses a challenge, making it…

Machine Learning · Computer Science 2024-12-19 Nanxu Gong , Chandan K. Reddy , Wangyang Ying , Haifeng Chen , Yanjie Fu

We introduce a model for the evolution of species triggered by generation of novel features and exhaustive combination with other available traits. Under the assumption that innovations are rare, we obtain a bursty branching process of…

Populations and Evolution · Quantitative Biology 2014-01-29 Stephanie Keller-Schmidt , Konstantin Klemm

Uncertain, unpredictable, real time, and lifelong evolution causes operational failures in intelligent software systems, leading to significant damages, safety and security hazards, and tragedies. To fully unleash the potential of such…

Software Engineering · Computer Science 2023-09-26 Tao Yue , Shaukat Ali

Simulated evolution of biological networks can be used to generate functional networks as well as investigate hypotheses regarding natural evolution. A handful of studies have shown how simulated evolution can be used for studying the…

Quantitative Methods · Quantitative Biology 2010-05-17 Deepak Chandran , Herbert M. Sauro

Evolutionary algorithms have been frequently applied to constrained continuous optimisation problems. We carry out feature based comparisons of different types of evolutionary algorithms such as evolution strategies, differential evolution…

Artificial Intelligence · Computer Science 2015-09-24 Shayan Poursoltan , Frank Neumann

Managing requirements on quality aspects is an important issue in the development of software systems. Difficulties arise from expressing them appropriately what in turn results from the difficulty of the concept of quality itself. Building…

Software Engineering · Computer Science 2016-11-07 Stefan Wagner , Florian Deissenboeck , Sebastian Winter

Machine intelligence can develop either directly from experience or by inheriting experience through evolution. The bulk of current research efforts focus on algorithms which learn directly from experience. I argue that the alternative,…

Neural and Evolutionary Computing · Computer Science 2021-06-22 Awni Hannun

Co-evolutionary processes are according to the evolutionary urban theory at the center of urban systems dynamics. Their empirical observation or within models of simulation remains however relatively rare. This chapter is focused on the…

Physics and Society · Physics 2020-01-17 Juste Raimbault

We introduce the concept of an abstract evolution system, which provides a convenient framework for studying generic mathematical structures and their properties. Roughly speaking, an evolution system is a category endowed with a selected…

Logic · Mathematics 2024-08-13 Wiesław Kubiś , Paulina Radecka

Groups - social communities are important components of entire societies, analysed by means of the social network concept. Their immanent feature is continuous evolution over time. If we know how groups in the social network has evolved we…

Social and Information Networks · Computer Science 2012-10-19 Piotr Bródka , Przemysław Kazienko , Bartosz Kołoszczyk

This paper discusses a model-based approach to testing as a vital part of software development. It argues that an approach using models as central development artifact needs to be added to the portfolio of software engineering techniques,…

Software Engineering · Computer Science 2014-09-24 Bernhard Rumpe

Formal modelling provides a toolkit for understanding cultural dynamics, from individual decisions to recurring patterns of change. This chapter explains what models are and why they matter. Using a precise, shared language, they aid…

Physics and Society · Physics 2026-01-05 Fredrik Jansson

Some quality indicators have been proposed for benchmarking preference-based evolutionary multi-objective optimization algorithms using a reference point. Although a systematic review and analysis of the quality indicators are helpful for…

Neural and Evolutionary Computing · Computer Science 2023-09-27 Ryoji Tanabe , Ke Li

Reliable empirical models such as those used in software effort estimation or defect prediction are inherently dependent on the data from which they are built. As demands for process and product improvement continue to grow, the quality of…

Software Engineering · Computer Science 2021-06-14 Michael Franklin Bosu , Stephen G. MacDonell