Search Results - (( using simulation game algorithm ) OR ( simulation optimization based algorithm ))

Artificial neural controller synthesis for TORCS by Shi, Jun Long

“…In this research, a free open source 3D-based simulator named The Open Racing Car Simulator (TORCS) is chosen as the research platform. …”
Get full text
Get full text

Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
Get full text
Get full text

Using Spiral Dynamic Algorithm for Maximizing Power Production of Wind Farm by Mok, Ren Hao, Raja Mohd Taufika, Raja Ismail, Mohd Ashraf, Ahmad

“…For simplicity, a single row wind farm model with turbulence interaction between turbines is used to validate the proposed approach. Simulation results demonstrate that the SDA based method produces higher total power production compared to the particle swarm optimization (PSO) and game theoretic (GT) based approaches. …”
Get full text
Get full text

Enhancement of collision avoidance technique in dynamic crowd simulations using visual cues and vision based algorithm by Iznora Aini Zolkifly

Get full text
Get full text
Get full text

Optimal power control game for primary-secondary user in cognitive radio network by Al-Gumaei, Y.A., Dimyati, Kaharudin

“…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. …”
Get full text
Get full text

Efficient vehicle routing optimization for autistic users / Abdulrahman Hasan Mohammed Shabalah by Abdulrahman Hasan , Mohammed Shabalah

“…The design and analysis of the comparison have been done using MATLAB tool. The experimental results showed that the performance of the proposed AFAC algorithm outperformed the classical Ant Colony and the recent MPAC algorithms. …”
Get full text
Get full text
Get full text

Exp-bet packet scheduling algorithm for multiple traffic services in long term evolution (LTE) system / Ku Siti Syahidah Ku Mohd Noh by Ku Mohd Noh, Ku Siti Syahidah

“…The simulation process has been done using the LTE-Sim simulator and the performance of these packet scheduling algorithms were evaluated based on the performance metric of fairness index, throughput, packet loss rate and delay for VoIP, video and best effort flows. …”
Get full text
Get full text

Distributed learning based energy-efficient operations in small cell networks by Mughees, Amna

“…Both user association and power allocation are solved in their respective action spaces. Simulation results demonstrate improved performance in power consumption, load, sum rate, utility, learning rate, convergence, and energy efficiency for small base stations (SBSs) and user equipment (UEs) compared to four benchmarked algorithms, including WMMSE, game theory, Q-learning, and DRL. …”
Get full text
Get full text

Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband by Shamshirband, Shahaboddin

“…Later, we investigate the game based-FQL algorithm by combining the game theoretic approach and the fuzzy Q-learning algorithm. …”
Get full text
Get full text

Nature-Inspired cognitive evolution to play Ms. Pac-Man by Tse, Guan Tan, Jason Teo, Patricia Anthony

“…So far however, there has been little discussion about the effectiveness of the application of these models to computer and video games in particular. The focus of this research is to explore the hybridization of nature-inspired computation methods for optimization of neural network-based cognition in video games, in this case the combination of a neural network with an evolutionary algorithm. …”
Get full text
Get full text
Get full text

Dynamic investment model for the restructed power market in the presence of wind source by Esfahani, Mohammad Tolou Askari Sedehi

“…The stochastic uncertainties include the demand and fuel price fluctuations in the restructured power market simulated based on the Monte Carlo method. In addition to the stochastic uncertainties in the medium term power market which are considered in the proposed model, the operational strategic behaviour of other investors considered in this study is based upon the game theory concepts using the Cournot game. …”
Get full text
Get full text

Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Md Arafatur, Rahman

“…In order to address this challenge, a simulation was implemented in the Unity3D game engine and two state-of-the-art RL algorithms PPO (Proximal Policy Optimization) and SAC (Soft Actor-Critic) were trained by an agent using Unity ML-Agents Toolkit. …”
Get full text
Get full text
Get full text

Secured dynamic request scheduling and optimal CSP selection for analyzing cloud service performance using intelligent approaches by Ahmad Khan, Muzammil, Mahmood Khan, Shariq, Subramaniam, Siva Kumar

“…CloudSim is used to simulate and assess.…”
Get full text
Get full text
Get full text

Reliable Path Selection Packet Forwarding Routing Protocol for Vehicular Adhoc Networks by Irshad Ahmed, Abbasi

“…The novelty of the proposed protocol comes from the fact that firstly it establishes an optimal route for vehicles to send packets towards their respective destinations by considering connectivity and shortest optimal distance based on multiple intersections. …”
Get full text
Get full text
Get full text

Optimization-based simulation algorithm for predictive-reactive job-shop scheduling of reconfigurable manufacturing systems by Tan, Joe Yee

“…In this case, the effectiveness and reliability of RMS is increase by combining the simulation with the optimization algorithm.…”
Get full text
Get full text
Get full text
Get full text

Simulated Kalman Filter: A Novel Estimation-based Metaheuristic Optimization Algorithm by Zuwairie, Ibrahim, Nor Hidayati, Abd Aziz, Nor Azlina, Ab. Aziz, Saifudin, Razali, Mohd Saberi, Mohamad

“…In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. …”
Get full text
Get full text
Get full text

Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

“…In this research, two novel estimation-based metaheuristic optimization algorithms, named as Simulated Kalman Filter (SKF), and single-solution Simulated Kalman Filter (ssSKF) algorithms are introduced for global optimization problems. …”
Get full text
Get full text

Angle Modulated Simulated Kalman Filter Algorithm for Combinatorial Optimization Problems by Zulkifli, Md. Yusof, Zuwairie, Ibrahim, Ismail, Ibrahim, Kamil Zakwan, Mohd Azmi, Nor Azlina, Ab. Aziz, Nor Hidayati, Abd. Aziz, Mohd Saberi, Mohamad

“…Inspired by the estimation capability of Kalman filter, we have recently introduced a novel estimation-based optimization algorithm called simulated Kalman filter (SKF). …”
Get full text
Get full text
Get full text
Get full text

Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation by Khan, Abdullah

“…The proposed algorithm is simulated for simultaneous OPF-based conflicting objectives, respectively. …”
Get full text
Get full text

Predictive-reactive job shop scheduling for flexible production systems with the combination of optimization and simulation based algorithm by Abdul Rahman, Azrul Azwan, Joe Yee, Tan, A Rahman, Muhamad Arfauz, Salleh, Mohd Rizal, Bilge, Pinar

“…This research will address some aspects of combining simulation and optimization-based algorithms for job-shop scheduling and rescheduling of flexible production systems. …”
Get full text
Get full text
Get full text