Keywords: Swarm Intelligence ; Collective Robotics ; SWARM_BOTS ; Evolutionary Robotics Note: Proceedings of the ANTS 2004, 4th International Workshop Sponsor: swarm-bots, OFES 01-0012-1 Reference LIS-BOOK-2004-002 URL: http://iridia.ulb.ac.be/~ants/ants2004/ Record created on 2006-01-12, modified on 2017-05-10

Ant Colony Optimization and Swarm Intelligence

This chapter reviews the approaches that have been studied for the online adaptation of the parameters of ant colony optimization (ACO) algorithms, that is, the variation of parameter settings while solving an instance of a problem. We classify these approaches according to the main classes of online parameter-adaptation techniques. One conclusion of this review is that the available approaches do not exploit an in-depth understanding of the effect of individual parameters on the behavior of ACO algorithms. Therefore, this chapter also presents results of an empirical study of the solution quality over computation time for Ant Colony System and MAX-MIN Ant System, two well-known ACO algorithms. The first part of this study provides insights on the behaviour of the algorithms in dependence of fixed parameter settings. One conclusion is that the best fixed parameter settings of MAX-MIN Ant System depend strongly on the available computation time. The second part of the study uses these insights to propose simple, pre-scheduled parameter variations. Our experimental results show that such pre-scheduled parameter variations can dramatically improve the anytime performance of MAX-MIN Ant System.

/pdf/parameter-adaptation-in-ant-colony-optimization-1xeaxiixhj.pdf

Parameter Adaptation in Ant Colony Optimization

Although environmental performance-based methodologies are increasingly considered in the early design stages due to their potential for improving the final building performance, few studies have scrutinized the interoperation of floor-plan design and thermal zoning for the purpose of optimized building energy use and indoor comfort. The absence of effective tools, which aid designers incorporate an environmentally adapted thermal zoning into the space arrangement process, invokes the strong necessity for a new space layout design methodology based on optimal thermal zoning. Thus, this paper presents a highly practical decision support tool named EASL (Environmental Architecture Space Layout) optimizer to bridge the gap between thermal and spatial zoning within architectural workflows. In this software, performance evaluation using the whole building simulation tool (Ecotect) and zone-based layout creation techniques is integrated for the automated generation of an optimal geometry of space and envelope g...

User-driven automation for optimal thermal-zone layout during space programming phases

From the perspective of historical review, the methodology of economics develops from qualitative to quantitative, from a small sampling of data to a vast amount of data. Because of the superiority in learning inherent law and representative level, deep learning models assist in realizing intelligent decision-making in economics. After presenting some statistical results of relevant researches, this paper systematically investigates deep learning in economics, including a survey of frequently-used deep learning models in economics, several applications of deep learning models used in economics. Then, some critical reviews of deep learning in economics are provided, including models and applications, why and how to implement deep learning in economics, research gap and future challenges, respectively. It is obvious that several deep learning models and their variants have been widely applied in different subfields of economics, e.g., financial economics, macroeconomics and monetary economics, agricultural and natural resource economics, industrial organization, urban, rural, regional, real estate and transportation economics, health, education and welfare, business administration and microeconomics, etc. We are very confident that decision-making in economics will be more intelligent with the development of deep learning, because the research of deep learning in economics has become a hot and important topic recently. 

/pdf/deep-learning-in-economics-a-systematic-and-critical-review-1oi1vx1m.pdf

Deep learning in economics: a systematic and critical review

We present how we have considered the artificial ant paradigm as a tool for the generation of music and painting. From an aesthetic perspective, we are interested in demonstrating that swarm intelligence and self-organization can lead to spatio-temporal structures that can reach an artistic dimension. In our case, the use of artificial pheromones can lead to the creation of melodies thanks to a cooperative behavior of the ant-agents but also to the emergence of abstract paintings thanks to competitive behaviors within the artificial colonies. The user’s point of view is also taken into account through interactive genetic algorithms.

Artificial Art Made by Artificial Ants

Many physically impaired people can meet difficulties whenusing a computer and particularly with the keyboard. Often, a virtualkeyboard can improve the usability of the computer system by handicappedpeople and can be adapted to their disabilities. From a combinatorialpoint of view, artificial ants have been studied to improve classicalkeyboard arrangements. This paper present how this method can fit thefirst problem and then become a tool to build new "tailor-made" keyboards.Then, the artificial ants meta-heuristic can be used as often asneeded as an optimizer that take into account user's activities of writing.

Artificial ants for the optimization of virtual keyboard arrangement for disabled people

The food economic chain of many rivers is based on an important control of the presence of predatory fish in the water. The assessment of the predation pressure on migratory species cannot be done manually. Therefore some automatic techniques are needed. In this paper we propose, for the first time, a deep neural architecture to estimate the catfish density from Aerial Images taken on the Loire river. The proposed architecture is adapted to the problem in hand and some variations to existing approaches, never applied in this application context, are designed to better fit the needs of the problem. Preliminary results show the appropriateness of the proposal and form the foundations for future developments on this new application.

https://hal.archives-ouvertes.fr/hal-02285787/document

Catfish density estimation by aerial images analysis and deep learning

To design adapted houses many things must be considered: standards and recommendations related to the field of disabilities, capacities and incapacities of the persons, and wishes of the future resident. Considering all those constraints makes difficult to build such adapted living areas. Automatic layout generation simplifies the design task and decreases both design costs and study times. However, it produces a lots of layouts that we need to present to the user. In this work, we proposed clustering and visualization methods to help both the designer and the demander to choose between layouts

Selection by visualization of topological layouts for adapted living area design

The aim of the HMPH project is to specify the functionalities of a movable, opened and adapted living area, enabling a better autonomy by means of appropriate assistive technologies, home automation and electronic devices, linked by a home network. Moreover, it should be able to be inserted in a strongly medicalized facility, as well as in a familial area. To design the interior layout of this adapted living area in a minimal time, we propose a software tool that will allow making the layouts taking the constraints, needs and wills of the resident into account. The software and its prospects of evolution are presented, the first results can be seen at http://www.e3i.univ-tours.fr/CNHL.

HMPH - Habitat Mobile pour Personnes Handicapées - Software for the Design of an Adapted Living Area

From October 2005 to August 2006, the museum of natural history of the city of Tours is displaying a temporary exhibition designed by the members of the “handicap and new technologies” research team from the computer science lab of the University of Tours. This paper describes this exhibition, the goals and means that have been involved to popularize recent researches in the field of artificial insects. Different robots and computer simulations have been used to explain how our community builds new paradigms inspired by insect models and swarm intelligence concepts.

On the popularization of artificial insects: an interactive exhibition for a wide audience to explain and demonstrate computer science and robotic problem solving taking inspiration of insects

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