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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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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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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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Using reinforcement learning and artificial evolution for the detection of group identities in complex adaptive artificial societies [PDF]
, 2013 We present a computational framework capable of inferring the existence of groups, built upon social networks of re- ciprocal friendship, in Complex Adaptive Artificial Societies (CAAS).
15th Annual Conference Companion on Genetic and Evolutionary Computation +3 more
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Generating map sketches for strategy games [PDF]
, 2015 How can a human and an algorithm productively collaborate on generating game content? In this paper, we try to answer this question in the context of generating balanced and interesting low-resolution sketches for game levels.
16th European Conference on the Applications of Evolutionary Computation +3 more
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Evolutionary computer simulations [PDF]
Physica A: Statistical Mechanics and its Applications, 2002 10 pages, plain TEX, no figures, STATPHYS ...
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Computational Evolutionary Embryogeny [PDF]
IEEE Transactions on Evolutionary Computation, 2010 Evolutionary and developmental processes are used to evolve the configurations of 3-D structures in silico to achieve desired performances. Natural systems utilize the combination of both evolution and development processes to produce remarkable performance and diversity.
Yogev, Or +2 more
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