Now showing items 21-30 of 59
Continuous Parameter Pools in Ensemble Differential Evolution
Ensemble of parameters and mutation strategies differential evolution (EPSDE) is an elegant promising optimization framework based on the idea that a pool of mutation and crossover strategies along, with associated pools ...
Geometry based Three-Dimensional Image Processing Method for Electronic Cluster Eye
(IOS Press, 2018-01-22)
In recent years, much attention has been paid to the electronic cluster eye (eCley), a new type of artificial compound eyes, because of its small size, wide field of view (FOV) and sensitivity to motion objects. An eCley ...
A Memetic Differential Evolution Approach in Noisy Optimization
This paper proposes amemetic approach for solving complex optimization problems characterized by a noisy fitness function. The proposed approach aims at solving highly multivariate and multi-modal landscapes which are also ...
Adaptive Differential Evolution Applied to Point Matching 2D GIS Data
The impetus behind data analytics and integration is the need for greater insight and data visibility, but since a growing share of our data is multimedia, there is a parallel need for methods that can align multimedia ...
Algorithm Design Issues in Adaptive Differential Evolution: Review and taxonomy
The performance of most metaheuristic algorithms depends on parameters whose settings essentially serve as a key function in determining the quality of the solution and the efficiency of the search. A trend that has emerged ...
An analysis on separability for Memetic Computing automatic design
A Separability Prototype for Automatic Memes with Adaptive Operator Selection
One of the main challenges in algorithmics in general, and in Memetic Computing, in particular, is the automatic design of search algorithms. A recent advance in this direction (in terms of continuous problems) is the ...
Robust Impaired Speech Segmentation Using Neural Network Mixture Model
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 ...
Covariance Matrix Adaptation Pareto Archived Evolution Strategy with Hypervolume-sorted Adaptive Grid Algorithm
(IOS Press, 2016)
Real-world problems often involve the optimisation of multiple conflicting objectives. These problems, referred to as multi-objective optimisation problems, are especially challenging when more than three objectives are ...
Progressive Preference Articulation for Decision Making in Multi-Objective Optimisation Problems
(IOS Press, 2017-09)
This paper proposes a novel algorithm for addressing multi-objective optimisation problems, by employing a progressive preference articulation approach to decision making. This enables the interactive incorporation of ...