A survey on swarming with micro air vehicles: Fundamental challenges and constraints

M Coppola, KN McGuire, C De Wagter… - Frontiers in Robotics …, 2020 - frontiersin.org
This work presents a review and discussion of the challenges that must be solved in order to
successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From …

Energy comparison of controllers used for a differential drive wheeled mobile robot

A Stefek, T Van Pham, V Krivanek, KL Pham - IEEE Access, 2020 - ieeexplore.ieee.org
In order to select the best controller for a Differential Drive Wheeled Mobile Robot
(DDWMR), an energy consumption comparison relating to tracking accuracy is used as a …

Genetic algorithm based approach for autonomous mobile robot path planning

C Lamini, S Benhlima, A Elbekri - Procedia Computer Science, 2018 - Elsevier
In this study, an improved crossover operator is suggested, for solving path planning
problems using genetic algorithms (GA) in static environment. GA has been widely applied …

[图书][B] Introduction to evolutionary computing

AE Eiben, JE Smith - 2015 - Springer
This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …

Evolutionary robotics

JC Bongard - Communications of the ACM, 2013 - dl.acm.org
Evolutionary robotics Page 1 74 communications of the acm | august 2013 | vol. 56 | no. 8
review articles Ill us tra t Ion b y Jus t In Metz The auTomaTed design, construction, and …

Evolution of collective behaviors for a real swarm of aquatic surface robots

M Duarte, V Costa, J Gomes, T Rodrigues, F Silva… - PloS one, 2016 - journals.plos.org
Swarm robotics is a promising approach for the coordination of large numbers of robots.
While previous studies have shown that evolutionary robotics techniques can be applied to …

Evolution of swarm robotics systems with novelty search

J Gomes, P Urbano, AL Christensen - Swarm Intelligence, 2013 - Springer
Novelty search is a recent artificial evolution technique that challenges traditional
evolutionary approaches. In novelty search, solutions are rewarded based on their novelty …

Multi-surrogate multi-tasking optimization of expensive problems

P Liao, C Sun, G Zhang, Y Jin - Knowledge-Based Systems, 2020 - Elsevier
Multiple surrogates can be trained in surrogate-assisted optimization of expensive problems
to describe different characteristics of the real fitness landscape. It has been shown that …

Liver segmentation in MRI images based on whale optimization algorithm

A Mostafa, AE Hassanien, M Houseni… - Multimedia Tools and …, 2017 - Springer
This paper proposes an approach for liver segmentation in MRI images based on Whale
optimization algorithm (WOA). It is used to extract the different clusters in the abdominal …

Open issues in evolutionary robotics

F Silva, M Duarte, L Correia, SM Oliveira… - Evolutionary …, 2016 - ieeexplore.ieee.org
One of the long-term goals in evolutionary robotics is to be able to automatically synthesize
controllers for real autonomous robots based only on a task specification. While a number of …