🏛️ The Neural & Evolutionary Crypt

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On the Baldwin Effect under Coevolution

Larry Bull

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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On averaging the best samples in evolutionary computation

Laurent Meunier, Yann Chevaleyre, ... (+3 more)

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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Disjoint principal component analysis by constrained binary particle swarm optimization

John Ramírez-Figueroa, Carlos Martín-Barreiro, ... (+3 more)

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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Divergent Search for Few-Shot Image Classification

Jeremy Tan, Bernhard Kainz

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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AMPSO: Artificial Multi-Swarm Particle Swarm Optimization

Haohao Zhou, Zhi-Hui Zhan, ... (+2 more)

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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Improving Many-Objective Evolutionary Algorithms by Means of Edge-Rotated Cones

Yali Wang, André Deutz, ... (+2 more)

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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Fast Mutation in Crossover-based Algorithms

Denis Antipov, Maxim Buzdalov, Benjamin Doerr

cs.NE 🏛 GECCO 2020 completed with the proofs which were missing because of the page limit 📚 0 cites 6 years ago

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Genetic Algorithm for the Weight Maximization Problem on Weighted Automata

Elena Gutiérrez, Takamasa Okudono, ... (+2 more)

cs.NE 🏛 GECCO 📚 0 cites 6 years ago

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Hybrid 2-stage Imperialist Competitive Algorithm with Ant Colony Optimization for Solving Multi-Depot Vehicle Routing Problem

Ivars Dzalbs, Tatiana Kalganova

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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Comments on Sejnowski's "The unreasonable effectiveness of deep learning in artificial intelligence" [arXiv:2002.04806]

Leslie S. Smith

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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Research on a New Convolutional Neural Network Model Combined with Random Edges Adding

Xuanyu Shu, Jin Zhang, ... (+3 more)

cs.NE 🏛 Int. J. Distributed Syst. Technol. 📚 0 cites 6 years ago

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Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm

Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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Structural Combinatorial of Network Information System of Systems based on Evolutionary Optimization Method

Tingting Zhang, Yushi Lan, ... (+3 more)

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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Gender Genetic Algorithm in the Dynamic Optimization Problem

P. A. Golovinski, S. A. Kolodyazhnyi

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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Adapting to Unseen Environments through Explicit Representation of Context

Cem C. Tutum, Risto Miikkulainen

cs.NE 🏛 ICAL 📚 0 cites 6 years ago

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Applying Gene Expression Programming for Solving One-Dimensional Bin-Packing Problems

Najla Akram Al-Saati

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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A Supervised Modified Hebbian Learning Method On Feed-forward Neural Networks

Rafi Qumsieh

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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MSTDP: A More Biologically Plausible Learning

Shiyuan Li

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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Feature discriminativity estimation in CNNs for transfer learning

Victor Gimenez-Abalos, Armand Vilalta, ... (+3 more)

cs.NE 🏛 AI 📚 0 cites 6 years ago

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What are Neural Networks made of?

Rene Schaub

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning

Jesus L. Lobo, Izaskun Oregi, ... (+2 more)

cs.NE 🏛 arXiv 📚 0 cites 6 years ago

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A New Approach for Optimizing Highly Nonlinear Problems Based on the Observer Effect Concept

Mojtaba Moattari, Emad Roshandel, ... (+2 more)

cs.NE 🏛 arXiv 📚 0 cites 7 years ago

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A Hybrid Algorithm for Metaheuristic Optimization

Sujit Pramod Khanna, Alexander Ororbia

cs.NE 🏛 arXiv 📚 0 cites 7 years ago

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A Reinforcement Learning Perspective on the Optimal Control of Mutation Probabilities for the (1+1) Evolutionary Algorithm: First Results on the OneMax Problem

Luca Mossina, Emmanuel Rachelson, Daniel Delahaye

cs.NE 🏛 arXiv 📚 0 cites 7 years ago