Europar-08 Peer-to-Peer Evolutionary Algorithms
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This document discusses using peer-to-peer (P2P) networks to tackle large problem instances in difficult optimization problems. It proposes applying P2P technology to evolutionary algorithms (EAs) to achieve massive scalability. The authors outline introducing P2P concepts to EAs, their model for P2P evolutionary algorithms, the experimental setup, results, and conclusions.
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The document compares the performance of different population structures (ring, Watts-Strogatz, newscast) for a peer-to-peer evolutionary algorithm. It models a fine-grained parallel evolutionary algorithm using a peer-to-peer protocol as the underlying population structure. The experimental analysis tests these population structures on a 2-trap problem and finds that regular lattices require smaller population sizes but more evaluations to find a solution, while different small-world methods produce equivalent performance. Future work is proposed to validate the model on a real peer-to-peer infrastructure and explore other population structures and metaheuristics.P2P EC: A study of viability
The document discusses peer-to-peer evolutionary computation (P2P EC) as a parallel solution for hard optimization problems. It aims to find empirical evidence of the viability of the P2P EC paradigm. The model uses a fine-grained parallel evolutionary algorithm with a peer-to-peer protocol as the underlying population structure. Three test cases are analyzed to evaluate the scalability and fault tolerance of the approach.
GECCO-09-GA-improvement-with-svps
This document presents research on improving genetic algorithms via deterministic population shrinkage. The researchers hypothesize that genetic algorithms require different population sizes at different convergence stages, with larger populations needed early on. They propose a Simple Variable Population Sizing (SVPS) scheme where the population shrinks deterministically over generations. Experiments on generalized l-trap functions of varying difficulty show that SVPS can improve performance over a fixed population size by minimizing the number of solutions evaluated while maintaining solution quality.
PACT-08-workshop-churn-p2p-ea
This document discusses addressing churn in a peer-to-peer evolutionary algorithm. It presents the key issues of decentralization, scalability, and fault tolerance in P2P EAs. The experimental setup models churn using a Weibull distribution and evaluates the P2P EA on massively multimodal deceptive problems of varying size under different churn rates. The results show the P2P EA maintains near optimal solutions even with high churn, with less than 1% of the initial population lost for the largest problem size tested.
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Analyzing screening strategies for the COVID19 disease
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On the Modeling of the Three Types of Non-Spiking Neurons of the Caenorhabdit...
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Je t'aide... moi non plus. L'altruisme du coté de la biologie
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Spatially structured Metaheuristics: Principles and Practical Applications
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Analysing the Performance of Different Population Structures for an Agent-bas...
Analysing the Performance of Different Population Structures for an Agent-bas...
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HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
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Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
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Artificial Intelligence and Electronic Warfare
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
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[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
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HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
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Europar-08 Peer-to-Peer Evolutionary Algorithms
- 1. P2P EVOLUTIONARY ALGORITHMS: A SUITABLE APPROACH FOR TACKLING LARGE INSTANCES IN HARD OPTIMIZATION PROBLEMS J.L.J. Laredo1, A.E. Eiben2, M. van Steen2, P.A. Castillo1, A.M. Mora1, J.J. Merelo1 Dept. of Architecture and Computer Technology1 University of Granada Dept. of Computer Science2 Vrije Universiteit Amsterdam
- 2. Scope First steps to know if talking about P2P technology applied to EA makes sense MASSIVE SCALABILITY
- 3. Outline Introduction Context of the work: Our Model Experimental Setup Results Conclusions