Putting continuous metaheuristics to work in binary search spaces
In the real world, there are a number of optimization problems whose search space is
restricted to take binary values; however, there are many continuous metaheuristics with …
restricted to take binary values; however, there are many continuous metaheuristics with …
Algorithms in nature: the convergence of systems biology and computational thinking
S Navlakha, Z Bar‐Joseph - Molecular systems biology, 2011 - embopress.org
Computer science and biology have enjoyed a long and fruitful relationship for decades.
Biologists rely on computational methods to analyze and integrate large data sets, while …
Biologists rely on computational methods to analyze and integrate large data sets, while …
PeerSim: A scalable P2P simulator
A Montresor, M Jelasity - 2009 IEEE Ninth International …, 2009 - ieeexplore.ieee.org
The key features of peer-to-peer (P2P) systems are scalability and dynamism. The
evaluation of a P2P protocol in realistic environments is very expensive and difficult to …
evaluation of a P2P protocol in realistic environments is very expensive and difficult to …
A survey on bio-inspired networking
F Dressler, OB Akan - Computer networks, 2010 - Elsevier
The developments in the communication and networking technologies have yielded many
existing and envisioned information network architectures such as cognitive radio networks …
existing and envisioned information network architectures such as cognitive radio networks …
From fireflies to fault-tolerant swarms of robots
AL Christensen, R OGrady… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
One of the essential benefits of swarm robotic systems is redundancy. In case one robot
breaks down, another robot can take steps to repair the failed robot or take over the failed …
breaks down, another robot can take steps to repair the failed robot or take over the failed …
Self-aware computing systems
This book is the first ever to focus on the emerging field of self-aware computing from an
engineering perspective. It first comprehensively introduces fundamentals for self …
engineering perspective. It first comprehensively introduces fundamentals for self …
Firefly algorithm for discrete optimization problems: A survey
SL Tilahun, JMT Ngnotchouye - KSCE Journal of civil Engineering, 2017 - Springer
Firefly algorithm is a nature-inspired metaheuristic algorithm inspired by the flashing
behavior of fireflies. It is originally proposed for continuous problems. However, due to its …
behavior of fireflies. It is originally proposed for continuous problems. However, due to its …
Distributed information processing in biological and computational systems
S Navlakha, Z Bar-Joseph - Communications of the ACM, 2014 - dl.acm.org
Distributed information processing in biological and computational systems Page 1 94
COMMUNICATIONS OF THE ACM | JANUARY 2015 | VOL. 58 | NO. 1 review articles DOI:10.1145/2678280 …
COMMUNICATIONS OF THE ACM | JANUARY 2015 | VOL. 58 | NO. 1 review articles DOI:10.1145/2678280 …
A review and comparative study of firefly algorithm and its modified versions
WA Khan, NN Hamadneh, SL Tilahun… - Optimization …, 2016 - books.google.com
Firefly algorithm is one of the well-known swarm-based algorithms which gained popularity
within a short time and has different applications. It is easy to understand and implement …
within a short time and has different applications. It is easy to understand and implement …
Collective-adaptive Lévy flight for underwater multi-robot exploration
D Sutantyo, P Levi, C Möslinger… - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
This paper presents the use of Lévy flight, a bio-inspired algorithm, to efficiently and
effectively locate targets in underwater search scenarios. We demonstrate how a novel …
effectively locate targets in underwater search scenarios. We demonstrate how a novel …