Search Results - (( using simulation game algorithm ) OR ( java application optimized algorithm ))
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Artificial neural controller synthesis for TORCS
Published 2015“…NPC is an important factor in a game. Player can easily complete the game if the NPC used is too easy to be defeated. …”
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Utility-based non-cooperative power control game in wireless environment / Yousef Ali Mohammed Al-Gumaei
Published 2017“…These frameworks are more general and they are applied on cognitive and femtocell networks due to the critical and important issue of interference. Numerical simulations are used to prove the effectiveness of these algorithms compared with other existing power control algorithms. …”
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Methods of aircraft trajectory optimisation in air combat
Published 2007“…In mathematical terms air combat can be considered as a game. However, due to the highly nonlinear equations of motion involved, the use of classical games theory is difficult to implement in a computer simulation. …”
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9
Evolving controllers for simulated car racing using differential evolution
Published 2013“…This paper presents an initial approach for creating autonomous controllers for the car racing game using a hybrid technique. The Differential Evolution (DE) algorithm is combined with Feed-forward Artificial Neural Networks (FFANNs) to generate the required intelligent controllers in a well-known car racing game, namely The Open Racing Car Simulator (TORCS). …”
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Automatic generation of multi-objective neural game controllers using Pareto-based differential evolution
Published 2010“…RTS games generally are war simulation. The game features of RTS game are very similar to a real war where player will have to manage their resource income while planning their army, technology, attack location, attack time and much more. …”
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Research Report -
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Optimal power control game for primary-secondary user in cognitive radio network
Published 2010“…In cognitive radio network (CRN), the utilities results in Nash equilibrium of power control game without using pricing are inefficient. In this paper, a distributed power control algorithm is proposed to improve the utilities of both primary user (PU) and secondary users (SUs) in the CRN based on game theoretic framework. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy
Published 2020“…In order to prove the effectiveness of such algorithms, numerical solutions are used in comparison with current power control algorithms. …”
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Novel distributed algorithm for coalition formation in cognitive radio networks for throughput enhancement using matching theory
Published 2017“…To overcome the limitations of game theory, concepts from matching theory are used. …”
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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The development of cloud modelling and motion analysis for virtual environment
Published 2005“…The potential industries that highly use RekAwan are weather visualization, film, advertisement, games and flight simulator. …”
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Monograph -
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The development of cloud modelling and motion analysis for virtual environment
Published 2005“…The potential industries that highly use RekAwan are weather visualization, film, advertisement, games and flight simulator. …”
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Monograph -
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Distance approximation using pivot point in narrow phase collision detection
Published 2013“…Most computer games and simulation maintain speed as the main important elements while others such as medical and mechanical simulation needs to have a very high precision collision detection technique. …”
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