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ECLIPSE: An Evolutionary Computation Library for Instrumentation Prototyping in Scientific Engineering [PDF]

Max Foreback, Evan Imata, Vincent R. Ragusa, Jacob Weiler, C. Shao, Joey Wagner, Katherine G. Skocelas, Jonathan Sy, Aman Hafez, Wolfgang Banzhaf, Amy Conolly, Kyle R. Helson, Rick Marcusen, Ofria Charles, Marcin Pilinski, Rajiv Ramnath, Bryan Reynolds, Anselmo C. Pontes, Emily Dolson, Julie Rolla   +19 more
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EASYstrata: an all-in-one workflow for genome annotation and genomic divergence analysis. [PDF]

NAR Genom Bioinform
Rougemont Q, Lucotte E, Boyer L, Jalaber de Dinechin A, Snirc A, Giraud T, Rodríguez de la Vega RC.   +6 more
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EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation

IEEE Transactions on Evolutionary Computation, 2023
Inspired by natural evolutionary processes, evolutionary computation (EC) has established itself as a cornerstone of artificial intelligence. Recently, with the surge in data-intensive applications and large-scale complex systems, the demand for scalable
Beichen Huang, Ran Cheng, Yaochu Jin, K. Tan   +3 more
semanticscholar   +1 more source

Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research

IEEE Computational Intelligence Magazine, 2021
The evolutionary algorithm (EA) is a nature-inspired population-based search method that works on Darwinian principles of natural selection. Due to its strong search capability and simplicity of implementation, EA has been successfully applied to solve ...
K. Tan, Liang Feng, Min Jiang
semanticscholar   +1 more source

Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation

IEEE Transactions on Cybernetics, 2020
A multifactorial evolutionary algorithm (MFEA) is a recently proposed algorithm for evolutionary multitasking, which optimizes multiple optimization tasks simultaneously.
Lei Zhou, Liang Feng, K. Tan, J. Zhong, Zexuan Zhu, Kai Liu, Chao Chen   +6 more
semanticscholar   +1 more source

A Survey on Unbalanced Classification: How Can Evolutionary Computation Help?

IEEE Transactions on Evolutionary Computation
Unbalanced classification is an essential machine learning task, which has attracted widespread attention from both the academic and industrial communities due mainly to its broad applications.
Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang, Xin Yao, Qian Zhang   +5 more
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Kriging Assisted Surrogate Evolutionary Computation to Solve Optimal Power Flow Problems

IEEE Transactions on Power Systems, 2020
This paper proposes a Kriging assisted strategy to expedite evolutionary computation for solving Optimal Power Flow (OPF) problems. First, two algorithms were developed–a Kriging Assisted Genetic Algorithm (KAGA) and a Kriging Assisted Particle Swarm ...
Zhida Deng, M. Rotaru, J. Sykulski
semanticscholar   +1 more source

Evolutionary Computation for Community Detection in Networks: A Review

IEEE Transactions on Evolutionary Computation, 2018
In today’s world, the interconnections among objects in many domains are often modeled as networks, with nodes representing the objects and edges the existing relationships among them.
C. Pizzuti
semanticscholar   +1 more source

A critical problem in benchmarking and analysis of evolutionary computation methods

Nat. Mac. Intell., 2022
J. Kůdela
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Benchmarking evolutionary computation approaches to insider threat detection

Annual Conference on Genetic and Evolutionary Computation, 2018
Insider threat detection represents a challenging problem to companies and organizations where malicious actions are performed by authorized users. This is a highly skewed data problem, where the huge class imbalance makes the adaptation of learning ...
Duc C. Le, Sara Khanchi, N. Zincir-Heywood, Malcolm I. Heywood   +3 more
semanticscholar   +1 more source