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This manuscript portrays optimization as a process. In many practical applications the environment is so complex that it is infeasible to lay out a comprehensive theoretical model and use classical algorithmic theory and mathematical…

Machine Learning · Computer Science 2023-08-08 Elad Hazan

A central concern in an interactive intelligent system is optimization of its actions, to be maximally helpful to its human user. In recommender systems for instance, the action is to choose what to recommend, and the optimization task is…

Human-Computer Interaction · Computer Science 2020-05-05 Fabio Colella , Pedram Daee , Jussi Jokinen , Antti Oulasvirta , Samuel Kaski

Abbreviated Abstract: The objective of Evolutionary Computation is to solve practical problems (e.g. optimization, data mining) by simulating the mechanisms of natural evolution. This thesis addresses several topics related to adaptation…

Neural and Evolutionary Computing · Computer Science 2009-07-06 James M Whitacre

We propose a novel method that makes use of deep neural networks and gradient decent to perform automated design on complex real world engineering tasks. Our approach works by training a neural network to mimic the fitness function of a…

Machine Learning · Statistics 2017-10-31 Oliver Hennigh

Diversification in a set of solutions has become a hot research topic in the evolutionary computation community. It has been proven beneficial for optimisation problems in several ways, such as computing a diverse set of high-quality…

Neural and Evolutionary Computing · Computer Science 2022-07-29 Adel Nikfarjam , Amirhossein Moosavi , Aneta Neumann , Frank Neumann

We investigate two representation alternatives for the controllers of teams of cyber agents. We combine these controller representations with different evolutionary algorithms, one of which introduces a novel LLM-supported mutation…

Neural and Evolutionary Computing · Computer Science 2025-07-09 Erik Hemberg , Eric Liu , Lucille Fuller , Stephen Moskal , Una-May O'Reilly

This paper examines the four main types of Evolutionary Design by computers: Evolutionary Design Optimisation, Evolutionary Art, Evolutionary Artificial Life Forms and Creative Evolutionary Design. Definitions for all four areas are…

Neural and Evolutionary Computing · Computer Science 2007-05-23 Peter J Bentley

Augmented reading systems aim to adapt text presentation to improve comprehension and task performance, yet existing approaches rely heavily on heuristics, opaque data-driven models, or repeated human involvement in the design loop. We…

Human-Computer Interaction · Computer Science 2026-02-27 Yunpeng Bai , Shengdong Zhao , Antti Oulasvirta

Metasurfaces are an emerging technology that may supplant many of the conventional optics found in imaging devices, displays, and precision scientific instruments. Here, we develop a method for designing optical systems composed of multiple…

Optics · Physics 2019-10-23 Adam S. Backer

Facing the physical limitations and energy consumption bottlenecks of traditional electronic devices, we propose an innovative design framework integrating evolutionary algorithms and metasurface technology, aiming to achieve intelligent…

Optics · Physics 2025-04-01 Xi Zhang , Huihui Liu , Junrui Xi , Menglu Chen , Tao Zhu

Interactive intelligent systems, i.e., interactive systems that employ AI technologies, are currently present in many parts of our social, public and political life. An issue reoccurring often in the development of these systems is the…

Human-Computer Interaction · Computer Science 2019-09-17 Maximilian Mackeprang , Claudia Müller-Birn , Maximilian Timo Stauss

Adaptive and intelligent user interfaces have been proposed as a critical component of a successful extended reality (XR) system. In particular, a predictive system can make inferences about a user and provide them with task-relevant…

Human-Computer Interaction · Computer Science 2022-10-20 Kashyap Todi , Ben Lafreniere , Tanya Jonker

Recent advances in diffusion models have shown remarkable potential for antibody design, yet existing approaches apply uniform generation strategies that cannot adapt to each antigen's unique requirements. Inspired by B cell affinity…

Machine Learning · Computer Science 2025-08-19 Hanqi Feng , Peng Qiu , Mengchun Zhang , Yiran Tao , You Fan , Jingtao Xu , Barnabas Poczos

In many sequential decision making applications, the change of decision would bring an additional cost, such as the wear-and-tear cost associated with changing server status. To control the switching cost, we introduce the problem of online…

Machine Learning · Computer Science 2021-03-23 Guanghui Wang , Yuanyu Wan , Tianbao Yang , Lijun Zhang

The optimization of information visualizations is time consuming and expensive. To reduce this we propose an improvement of existing optimization approaches based on user-centered design, focusing on readability, comprehensibility, and user…

Human-Computer Interaction · Computer Science 2020-02-18 David Baum , Pascal Kovacs , Ulrich Eisenecker , Richard Müller

Coordinate descent methods employ random partial updates of decision variables in order to solve huge-scale convex optimization problems. In this work, we introduce new adaptive rules for the random selection of their updates. By adaptive,…

Machine Learning · Computer Science 2017-03-08 Dmytro Perekrestenko , Volkan Cevher , Martin Jaggi

User Interface (UI) optimization is essential in the digital era to enhance user satisfaction in web environments. Nevertheless, the existing UI optimization models had overlooked the Cross-Responsiveness (CR) assessment, affecting the user…

Human-Computer Interaction · Computer Science 2025-12-19 Shrinivass Arunachalam Balasubramanian

Visual design is critical to product success, and the subject of intensive marketing research effort. Yet visual elements, due to their holistic and interactive nature, do not lend themselves well to optimization using extant…

Human-Computer Interaction · Computer Science 2019-12-12 Namwoo Kang , Yi Ren , Fred Feinberg , Panos Papalambros

Brainstorming is an effective technique for offline ideation although the number of participants able to join an ideation session and suggest ideas is limited. To increase the diversity and quality of the ideas suggested, many participants…

Human-Computer Interaction · Computer Science 2021-10-08 Nobuo Namura , Tatsuya Hasebe

Effective optimization is essential for interactive systems to provide a satisfactory user experience. However, it is often challenging to find an objective to optimize for. Generally, such objectives are manually crafted and rarely capture…

Artificial Intelligence · Computer Science 2019-12-17 Ziming Li , Julia Kiseleva , Alekh Agarwal , Maarten de Rijke