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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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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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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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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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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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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A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems
Complexity, 2021 Bound-constrained optimization has wide applications in science and engineering. In the last two decades, various evolutionary algorithms (EAs) were developed under the umbrella of evolutionary computation for solving various bound-constrained benchmark ...
Wali Khan Mashwani +4 more
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Inevitable evolutionary temporal elements in neural processing: a study based on evolutionary simulations. [PDF]
PLoS ONE, 2008 Recent studies have suggested that some neural computational mechanisms are based on the fine temporal structure of spiking activity. However, less effort has been devoted to investigating the evolutionary aspects of such mechanisms.
Uri Yerushalmi, Mina Teicher
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An Evolutionary Computation Approach for Twitter Bot Detection
Applied Sciences, 2022 Bot accounts are automated software programs that act as legitimate human profiles on social networks. Identifying these kinds of accounts is a challenging problem due to the high variety and heterogeneity that bot accounts exhibit.
Luigi Rovito +3 more
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Pump Scheduling Optimization Using Asynchronous Parallel Evolutionary Algorithms
CLEI Electronic Journal, 2018 Optimizing the pump-scheduling is an interesting proposal to achieve cost reductions in water distribution pumping stations. As systems grow, pump-scheduling becomes a very difficult task.
Christian von Lucken +2 more
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