Author Archives: Community

GPEM 18(2) is available

The second issue of Volume 18 of Genetic Programming and Evolvable Machines is now available for download.

It contains:

An iterative genetic programming approach to prototype generation
by José María Valencia-Ramírez, Mario Graff, Hugo Jair Escalante & Jaime Cerda-Jacobo

Recursion in tree-based genetic programming
by Alexandros Agapitos, Michael O’Neill, Ahmed Kattan & Simon M. Lucas

Recurrent Cartesian Genetic Programming of Artificial Neural Networks
by Andrew James Turner & Julian Francis Miller

An analysis of the genetic marker diversity algorithm for genetic programming
by Armand R. Burks & William F. Punch

Solving metameric variable-length optimization problems using genetic algorithms
by Matthew L. Ryerkerk, Ronald C. Averill, Kalyanmoy Deb & Erik D. Goodman

SOFTWARE REVIEW
Software review: CGP-Library
by Emerson Carlos Pedrino, Paulo Cesar Donizeti Paris, Denis Pereira de Lima & Valentin Obac Roda

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IEEE Transactions on Evolutionary Computation information for authors

These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal. Continue reading

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Quantifying Variable Interactions in Continuous Optimization Problems

Interactions between decision variables typically make an optimization problem challenging for an evolutionary algorithm (EA) to solve. Exploratory landscape analysis (ELA) techniques can be used to quantify the level of variable interactions in an opt… Continue reading

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IEEE World Congress on Computational Intelligence

Describes the above-named upcoming special issue or section. May include topics to be covered or calls for papers. Continue reading

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A Multiobjective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing

Sparse unmixing of hyperspectral data is an important technique aiming at estimating the fractional abundances of the end members. Traditional sparse unmixing is faced with the l0-norm problem which is an NP-hard problem. Sparse unmixing is inherently … Continue reading

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A Classification and Comparison of Credit Assignment Strategies in Multiobjective Adaptive Operator Selection

Adaptive operator selection (AOS) is a high-level controller for an optimization algorithm that monitors the performance of a set of operators with a credit assignment strategy and adaptively applies the high performing operators with an operator selec… Continue reading

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Many-Objective Evolutionary Algorithms Based on Coordinated Selection Strategy

Selection strategy, including mating selection and environmental selection, is a key ingredient in the design of evolutionary multiobjective optimization algorithms. Existing approaches, which have shown competitive performance in low-dimensional multi… Continue reading

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A Novel Image Representation Framework Based on Gaussian Model and Evolutionary Optimization

We propose a novel image representation framework based on Gaussian model and evolutionary optimization (EO). In this framework, image patches are categorized into smooth and nonsmooth ones, and the two categories are treated distinctively. For a smoot… Continue reading

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Optimal Computing Budget Allocation for Particle Swarm Optimization in Stochastic Optimization

Particle swarm optimization (PSO) is a popular metaheuristic for deterministic optimization. Originated in the interpretations of the movement of individuals in a bird flock or fish school, PSO introduces the concept of personal best and global best to… Continue reading

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IEEE Transactions on Evolutionary Computation Society Information

Provides a listing of the editorial board, current staff, committee members and society officers. Continue reading

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