Shifting niches for community structure detection [PDF]
, 2013 We present a new evolutionary algorithm for community structure detection in both undirected and unweighted (sparse) graphs and fully connected weighted digraphs (complete networks).
Grappiolo, Corrado +3 more
core +1 more source
AlphaStar: an evolutionary computation perspective [PDF]
Annual Conference on Genetic and Evolutionary Computation, 2019 In January 2019, DeepMind revealed AlphaStar to the world---the first artificial intelligence (AI) system to beat a professional player at the game of StarCraft II---representing a milestone in the progress of AI.
Kai Arulkumaran +2 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +3 more sources
Evolutionary computation in optimization and identification
Computer Assisted Methods in Engineering and Science, 2023 The aim of the paper is to present the application of the evolutionary algorithms to selected optimization and identification problems of mechanical systems. The coupling of evolutionary algorithms with the finite element method and the boundary element
Tadeusz Burczyński +5 more
doaj
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
doaj +1 more source
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
core +1 more source
An Experimental Study of Adaptive Control for Evolutionary Algorithms [PDF]
, 2014 The balance of exploration versus exploitation (EvE) is a key issue on evolutionary computation. In this paper we will investigate how an adaptive controller aimed to perform Operator Selection can be used to dynamically manage the EvE balance required ...
di Tollo, Giacomo +3 more
core +5 more sources
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
doaj +1 more source
Towards procedural strategy game generation : evolving complementary unit types [PDF]
, 2011 The Strategy Game Description Game Language (SGDL) is intended to become a complete description of all aspects of strategy games, including rules, parameters, scenarios, maps, and unit types.
European Conference on the Applications of Evolutionary Computation +3 more
core +1 more source