6,660 research outputs found
On the performance of a hybrid genetic algorithm in dynamic environments
The ability to track the optimum of dynamic environments is important in many
practical applications. In this paper, the capability of a hybrid genetic
algorithm (HGA) to track the optimum in some dynamic environments is
investigated for different functional dimensions, update frequencies, and
displacement strengths in different types of dynamic environments. Experimental
results are reported by using the HGA and some other existing evolutionary
algorithms in the literature. The results show that the HGA has better
capability to track the dynamic optimum than some other existing algorithms.Comment: This paper has been submitted to Applied Mathematics and Computation
on May 22, 2012 Revised version has been submitted to Applied Mathematics and
Computation on March 1, 201
A Weight-coded Evolutionary Algorithm for the Multidimensional Knapsack Problem
A revised weight-coded evolutionary algorithm (RWCEA) is proposed for solving
multidimensional knapsack problems. This RWCEA uses a new decoding method and
incorporates a heuristic method in initialization. Computational results show
that the RWCEA performs better than a weight-coded evolutionary algorithm
proposed by Raidl (1999) and to some existing benchmarks, it can yield better
results than the ones reported in the OR-library.Comment: Submitted to Applied Mathematics and Computation on April 8, 201
Controllability Analysis and Degraded Control for a Class of Hexacopters Subject to Rotor Failures
This paper considers the controllability analysis and fault tolerant control
problem for a class of hexacopters. It is shown that the considered hexacopter
is uncontrollable when one rotor fails, even though the hexacopter is
over-actuated and its controllability matrix is row full rank. According to
this, a fault tolerant control strategy is proposed to control a degraded
system, where the yaw states of the considered hexacopter are ignored.
Theoretical analysis indicates that the degraded system is controllable if and
only if the maximum lift of each rotor is greater than a certain value. The
simulation and experiment results on a prototype hexacopter show the
feasibility of our controllability analysis and degraded control strategy.Comment: 21 pages, 7 figures, submitted to Journal of Intelligent & Robotic
System
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