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Titlebook: Applications of Evolutionary Computation; EvoApplications 2012 Cecilia Chio,Alexandros Agapitos,Georgios N. Yanna Conference proceedings 20

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發(fā)表于 2025-3-21 18:04:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Applications of Evolutionary Computation
期刊簡(jiǎn)稱(chēng)EvoApplications 2012
影響因子2023Cecilia Chio,Alexandros Agapitos,Georgios N. Yanna
視頻videohttp://file.papertrans.cn/160/159389/159389.mp4
發(fā)行地址State-of-the-art research.Fast-track conference proceedings.Unique visibility
學(xué)科分類(lèi)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Applications of Evolutionary Computation; EvoApplications 2012 Cecilia Chio,Alexandros Agapitos,Georgios N. Yanna Conference proceedings 20
影響因子This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2012, held in Málaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoCOP, EvoBIO, and EvoMUSART. The 54 revised full papers presented were carefully reviewed and selected from 90 submissions. EvoApplications 2012 consisted of the following 11 tracks: EvoCOMNET (nature-inspired techniques for telecommunication networks and other parrallel and distributed systems), EvoCOMPLEX (algorithms and complex systems), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoHOT (bio-inspired heuristics for design automation), EvoIASP (evolutionary computation in image analysis and signal processing), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defense applications), EvoSTIM (nature-inspired techniques in scheduling, planning, and timetabling), and EvoSTOC (evolutionary algorithms in stochastic and dynamic enviro
Pindex Conference proceedings 2012
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Network Protocol Discovery and Analysis via Live Interactiontocols is paramount within the realm of network security; our approach to this crucial analysis is to interact with a network service, discovering sequences of commands that do not result in error messages. In so doing, our work investigates the real-life responses of a service, allowing for explora
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Evolutionary Design of Active Free Space Optical Networks Based on Digital Mirror Devicesance optical connections are already established, optical board- and chip-level connections are still a subject of current research. In this paper we describe a new setup for optical board-level connections which is based on free space optics and allows the switching of signals within the optical do
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Small-World Optimization Applied to Job Scheduling on Grid Environments from a Multi-Objective Persp Due to the conflictive nature of these requirements - minimum response time usually implies expensive resources - a multi-objective approach is implemented to solve this problem. In this paper, we present the Multi-Objective Small World Optimization (MOSWO) as a multi-objective adaptation from algo
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Testing Diversity-Enhancing Migration Policies for Hybrid On-Line Evolution of Robot Controllers robot hosts a population (island) of evolving controllers and exchanges controllers with other robots at certain times. We compare different exchange (migration) policies in order to optimize this evolutionary system and compare the best hybrid setup with the encapsulated and distributed alternativ
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Evolutionary Optimization of Pheromone-Based Stigmergic Communicationided probabilistic exploration of an unknown environment by combining random movement and stigmergic guidance. Pheromone-based stigmergic communication among simple entities features various complexities that have significant effects on the overall swarm coordination, but are poorly understood. We p
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Hyperparameter Tuning in Bandit-Based Adaptive Operator Selectionased stochastic sampling, takes place over an extended duration and occurs . as programs execute. The environment or context during tuning is either largely . in one scenario or . in another. We rely upon adaptive operator selection to dynamically generate worthy test configurations of the program.
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Analyzing Dynamic Fitness Landscapes of the Targeting Problem of Chaotic Systemsoptimization problem for which a dynamic fitness landscape can be formulated. We define the dynamic fitness landscape for the targeting problem and analyze numerically its properties. In particular, we are interested in the modality of the landscape and its fractal characteristics.
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發(fā)表于 2025-3-23 09:32:09 | 只看該作者
Self-organization and Specialization in Multiagent Systems through Open-Ended Natural Evolutiontural evolution. We computationally simulate life-like dynamics and their evolution from the definition of local and low level interactions, as used in Artificial Life simulations, in a distributed evolutionary algorithm called ASiCo (Asynchronous Situated Coevolution). In this algorithm, the agents
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