Results 21 to 30 of about 3,031,483 (337)
Distributed Computation using Evolutionary Consciousness : An Approach [PDF]
International Journal of Computational Intelligence Systems, 2015 The modeling of biological phenomena and its adaptations to distributed computing are promising research areas. The computational modeling of neurobiological phenomena, such as cognition and consciousness, has potential for applications into bio-inspired
Susmit Bagchi
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Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap [PDF]
IEEE Transactions on Evolutionary ComputationLarge language models (LLMs) have not only revolutionized natural language processing but also extended their prowess to various domains, marking a significant stride toward artificial general intelligence.
Xingyu Wu +4 more
semanticscholar +1 more source
Information Processing Letters, 2002 Evolutionary computing (EC) is an exciting development in Computer Science. It amounts to building, applying and studying algorithms based on the Darwinian principles of natural selection. In this paper we briefly introduce the main concepts behind evolutionary computing.
Eiben, Aguston, Schoenauer, Marc
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Urban-Tissue Optimization through Evolutionary Computation
Mathematics, 2018 The experiments analyzed in this paper focus their research on the use of Evolutionary Computation (EC) applied to a parametrized urban tissue. Through the application of EC, it is possible to develop a design under a single model that addresses multiple
Diego Navarro-Mateu +2 more
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Human-Guided Evolutionary Story Narration
IEEE Access, 2018 Stories are useful tools with which we can exchange experience learnt in social contexts, ways to communicate futures in strategic planning, and unique building blocks that connect meanings in a movie or a virtual environment.
Kun Wang +3 more
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On the Automated and Reactive Optimization of Highly-Dynamic Communication Network Infrastructures [PDF]
Journal of Universal Computer Science, 2019 In this paper, the applicability of heuristic methods for an automated and reactive optimization of network infrastructures in highly-dynamic communication networks is studied.
Robin Mueller-Bady +3 more
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Evolutionary Computation for Macroeconomic Forecasting [PDF]
Computational Economics, 2017 The final publication is available at Springer via http://dx.doi.org/10.1007/s10614-017-9767-4 The main objective of this study is twofold. First, we propose an empirical modelling approach based on genetic programming to forecast economic growth by means of survey data on expectations.
Claveria, Oscar +2 more
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Systematic Initialization Approaches for Portfolio Optimization Problems
IEEE Access, 2019 Selecting the number of assents to obtain the maximized expected return under the possible lowest risk is the main concern of portfolio optimization problems. Optimization algorithms -multi/many-objective- are evaluated to find the desired/possible level
Mehmet Altinoz, O. Tolga Altinoz
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A Novel Multi-Task Optimization Algorithm Based on the Brainstorming Process
IEEE Access, 2020 Evolutionary multi-task optimization (EMTO) is an emerging research topic in the field of evolutionary computation, which aims to simultaneously optimize several component tasks within a problem and output the best solution for each task.
Chao Lyu, Yuhui Shi, Lijun Sun
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Preface to “Swarm and Evolutionary Computation—Bridging Theory and Practice”
Mathematics, 2023 Swarm and evolutionary computation (SEC) [...]
Yong-Hyuk Kim, Fabio Caraffini
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