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IEEE Transactions on Evolutionary Computation, 2021 In the last decade, many evolutionary computation (EC) algorithms with diversity enhancement have been proposed to solve large-scale optimization problems in big data era. Among them, the social learning particle swarm optimization (SLPSO) has shown good
Jun-Rong Jian +3 more
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Wankelmut: A Simple Benchmark for the Evolvability of Behavioral Complexity
Applied Sciences, 2021 In evolutionary robotics, an encoding of the control software that maps sensor data (input) to motor control values (output) is shaped by stochastic optimization methods to complete a predefined task. This approach is assumed to be beneficial compared to
Thomas Schmickl +2 more
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The intersection of evolutionary computation and explainable AI
GECCO Companion, 2022 In the past decade, Explainable Artificial Intelligence (XAI) has attracted a great interest in the research community, motivated by the need for explanations in critical AI applications. Some recent advances in XAI are based on Evolutionary Computation (
J. Bacardit +5 more
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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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Integrating Evolutionary Computation with Neural Networks [PDF]
, 1995 There is a tremendous interest in the development of the evolutionary computation techniques as they are well suited to deal with optimization of functions containing a large number of variables.
Hibbs, R.A. +3 more
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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
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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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Evolutionary Robot Vision for People Tracking Based on Local Clustering [PDF]
, 2008 This paper discusses the role of evolutionary computation in visual perception for partner robots. The search of evolutionary computation has many analogies with human visual search.
Kubota, Naoyuki, Sulistijono, Indra Adji
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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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Evolutionary Computation in High Energy Physics [PDF]
, 2008 Evolutionary Computation is a branch of computer science with which, traditionally, High Energy Physics has fewer connections. Its methods were investigated in this field, mainly for data analysis tasks. These methods and studies are, however, less known
Teodorescu, Liliana
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