Author Archives: Community

Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes

Evolutionary Computation, Volume 25, Issue 4, Page 555-585, Winter 2017. <br/> Continue reading

Comments Off on Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes

Expected Fitness Gains of Randomized Search Heuristics for the Traveling Salesperson Problem

Evolutionary Computation, Volume 25, Issue 4, Page 673-705, Winter 2017. <br/> Continue reading

Comments Off on Expected Fitness Gains of Randomized Search Heuristics for the Traveling Salesperson Problem

An Enhanced Memetic Algorithm for Single-Objective Bilevel Optimization Problems

Evolutionary Computation, Volume 25, Issue 4, Page 607-642, Winter 2017. <br/> Continue reading

Comments Off on An Enhanced Memetic Algorithm for Single-Objective Bilevel Optimization Problems

Evolutionary Design of Classifiers Made of Droplets Containing a Nonlinear Chemical Medium

Evolutionary Computation, Volume 25, Issue 4, Page 643-671, Winter 2017. <br/> Continue reading

Comments Off on Evolutionary Design of Classifiers Made of Droplets Containing a Nonlinear Chemical Medium

Introducing Elitist Black-Box Models: When Does Elitist Behavior Weaken the Performance of Evolutionary Algorithms?

Evolutionary Computation, Volume 25, Issue 4, Page 587-606, Winter 2017. <br/> Continue reading

Comments Off on Introducing Elitist Black-Box Models: When Does Elitist Behavior Weaken the Performance of Evolutionary Algorithms?

Performance Analysis of Continuous Black-Box Optimization Algorithms via Footprints in Instance Space

Evolutionary Computation, Volume 25, Issue 4, Page 529-554, Winter 2017. <br/> Continue reading

Comments Off on Performance Analysis of Continuous Black-Box Optimization Algorithms via Footprints in Instance Space

Performance Analysis of Evolutionary Algorithms for Steiner Tree Problems

Evolutionary Computation, Volume 25, Issue 4, Page 707-723, Winter 2017. <br/> Continue reading

Comments Off on Performance Analysis of Evolutionary Algorithms for Steiner Tree Problems

IEEE Transactions on Evolutionary Computation information for authors

Comments Off on IEEE Transactions on Evolutionary Computation information for authors

Combination of Video Change Detection Algorithms by Genetic Programming

Within the field of computer vision, change detection algorithms aim at automatically detecting significant changes occurring in a scene by analyzing the sequence of frames in a video stream. In this paper we investigate how state-of-the-art change detection algorithms can be combined and used to create a more robust algorithm leveraging their individual peculiarities. We exploited genetic programming (GP) to automatically select the best algorithms, combine them in different ways, and perform the most suitable post-processing operations on the outputs of the algorithms. In particular, algorithms’ combination and post-processing operations are achieved with unary, binary and ${n}$ -ary functions embedded into the GP framework. Using different experimental settings for combining existing algorithms we obtained different GP solutions that we termed In Unity There Is Strength. These solutions are then compared against state-of-the-art change detection algorithms on the video sequences and ground truth annotations of the ChangeDetection.net 2014 challenge. Results demonstrate that using GP, our solutions are able to outperform all the considered single state-of-the-art change detection algorithms, as well as other combination strategies. The performance of our algorithm are significantly different from those of the other state-of-the-art algorithms. This fact is supported by the statistical significance analysis conducted with the Friedman test and Wilcoxon rank sum post-hoc tests. Continue reading

Comments Off on Combination of Video Change Detection Algorithms by Genetic Programming

IEEE World Congress on Computational Intelligence

Comments Off on IEEE World Congress on Computational Intelligence