Results 121 to 130 of about 926,473 (252)
RFreak – an R package for evolutionary computation [PDF]
, 2008 RFreak is an R package providing a framework for evolutionary computation. By enwrapping the functionality of an evolutionary algorithm kit written in Java, it offers an easy way to do evolutionary computation in R.
Nunkesser, Robin
core +1 more source
Prospective Algorithms for Quantum Evolutionary Computation [PDF]
arXiv, 2008 This effort examines the intersection of the emerging field of quantum computing and the more established field of evolutionary computation. The goal is to understand what benefits quantum computing might offer to computational intelligence and how computational intelligence paradigms might be implemented as quantum programs to be run on a future ...
arxiv
Constructing a Tree from Homeomorphic Subtrees, with Applications to Computational Evolutionary Biology [PDF]
, 1999 Monika Henzinger +2 more
openalex +1 more source
Infrequent Pattern Detection for Reliable Network Traffic Analysis Using Robust Evolutionary Computation. [PDF]
Sensors (Basel), 2021 Rashid ANMB, Ahmed M, Pathan AK.
europepmc +1 more source
Exploring tradeoffs in pleiotropy and redundancy using evolutionary computing
, 2004 Evolutionary computation algorithms are increasingly being used to solve optimization problems as they have many advantages over traditional optimization algorithms.
Abbott, Derek +5 more
core +1 more source
Hybridization of Evolutionary Algorithms [PDF]
Iztok Fister, Marjan Mernik and Janez Brest (2011). Hybridization
of Evolutionary Algorithms, Evolutionary Algorithms, Eisuke Kita (Ed.), ISBN:
978-953-307-171-8, InTech, 2013 Evolutionary algorithms are good general problem solver but suffer from a lack of domain specific knowledge. However, the problem specific knowledge can be added to evolutionary algorithms by hybridizing. Interestingly, all the elements of the evolutionary algorithms can be hybridized.
arxiv
The Complex Network of Evolutionary Computation Authors: an Initial Study
, 2005 EC paper authors form a complex network of co-authorship which is, by itself, a example of an evolving system with its own rules, concept of fitness, and patterns of attachment.
Cotta, Carlos, Merelo, Juan J.
core +3 more sources
Using Genetic Algorithm in the Evolutionary Design of Sequential Logic Circuits [PDF]
arXiv, 2011 Evolvable hardware (EHW) is a set of techniques that are based on the idea of combining reconfiguration hardware systems with evolutionary algorithms. In other word, EHW has two sections; the reconfigurable hardware and evolutionary algorithm where the configurations are under the control of an evolutionary algorithm.
arxiv
Comparing the Robustness of Evolutionary Algorithms on the Basis of Benchmark Functions
Advances in Electrical and Computer Engineering, 2013 In real-world optimization problems, even though the solution quality is of great importance, the robustness of the solution is also an important aspect. This paper investigates how the optimization algorithms are sensitive to the variations of control
DENIZ ULKER, E., HAYDAR, A.
doaj +1 more source
arXiv, 2017 Drift analysis is one of the major tools for analysing evolutionary algorithms and nature-inspired search heuristics. In this chapter we give an introduction to drift analysis and give some examples of how to use it for the analysis of evolutionary algorithms.
arxiv