Now showing items 31-40 of 59
Differential Evolution with Scale Factor Local Search for Large Scale Problems
This chapter proposes the integration of fitness diversity adaptation techniques within the parameter setting of Differential Evolution (DE). The scale factor and crossover rate are encoded within each genotype and ...
An Adaptive Local Search Algorithm for Real-Valued Dynamic Optimization
(IEEE Press, 2015-05)
This paper proposes a novel adaptive local search algorithm for tackling real-valued (or continuous) dynamic optimization problems. The proposed algorithm is a simple single-solution based metaheuristic that perturbs the ...
Differential Evolution Schemes for Speech Segmentation: A Comparative Study
(IEEE Press, 2014)
This paper presents a signal processing technique for segmenting short speech utterances into unvoiced and voiced sections and identifying points where the spectrum becomes steady. The segmentation process is part of a ...
Compact differential evolution light: high performance despite limited memory requirement and modest computational overhead
(Springer US, 2012-09-01)
Compact algorithms are Estimation of Distribution Algorithms which mimic the behavior of population-based algorithms by means of a probabilistic representation of the population of candidate solutions. These algorithms ...
Ockham's Razor in memetic computing: Three stage optimal memetic exploration
Memetic computing is a subject in computer science which considers complex structures as the combination of simple agents, memes, whose evolutionary interactions lead to intelligent structures capable of problem-solving. ...
Composed compact differential evolution
This paper proposes a novel algorithm for solving continuous complex optimization problems with a relatively low memory consumption. The proposed approach, namely Composed compact Differential Evolution, consists of a set ...
Guest editorial: Memetic computing in the presence of uncertainties
Handbook of Memetic Algorithms
Towards Artificial Speech Therapy: A Neural System for Impaired Speech Segmentation
(World Scientific, 2016-03-17)
This paper presents a neural system-based technique for segmenting short impaired speech utterances into silent, unvoiced, and voiced sections. Moreover, the proposed technique identifies those points of the (voiced) speech ...
The Importance of Being Structured: a Comparative Study on Multi Stage Memetic Approaches
Memetic Computing (MC) is a discipline which studies optimization algorithms and sees them as structures of operators, the memes. Although the choice of memes is crucial for an effective algorithmic design, special attention ...