Feb 23, 2017 · Abstract: The goal of this work is to develop a multi-objective genetic algorithm for simulating optimal fights between arbitrary units in ...
Simulation shows that the introduction of both numeric encoding and dynamic mutation can effectively improve the accuracy and speed of searching for the optimum ...
Sep 20, 2016 · The goal of this work is to develop a multi-objective genetic algorithm for simulating optimal fights between arbitrary units in the ...
Jonas Schmitt, Harald Köstler A multi-objective genetic algorithm for simulating optimal fights in StarCraft II CoG, 2016. ; genetic algorithm ; simulating ...
A multi-objective genetic algorithm for simulating optimal fights in StarCraft II · Online Build-Order Optimization for Real-Time Strategy Agents using Multi- ...
This article presents a modified version of the multi-objective genetic algorithm NSGA II in order to find optimal opening strategies in the real-time ...
Nov 19, 2015 · The goal of this thesis is to develop a multi-objective genetic algorithm for evaluating the effec- tiveness of build orders, which correspond ...
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A multi-objective genetic algorithm for simulating optimal fights between arbitrary units in the real-time strategy game StarCraft II is developed and a ...
A multi-objective genetic algorithm for simulating optimal fights in starcraft II. J Schmitt, H Köstler. 2016 IEEE Conference on Computational Intelligence and ...
Mar 27, 2018 · A multi-objective genetic algorithm for simu- lating optimal fights in starcraft ii. IEEE Conference on Computational. Intelligence and Games ...