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08/22/2022
Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics
An inherent problem in reinforcement learning is coping with policies th...
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01/28/2021
Coefficients' Settings in Particle Swarm Optimization: Insight and Guidelines
Particle Swam Optimization is a population-based and gradient-free optim...
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01/25/2021
Pseudo-Adaptive Penalization to Handle Constraints in Particle Swarm Optimizers
The penalization method is a popular technique to provide particle swarm...
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01/25/2021
Individual and Social Behaviour in Particle Swarm Optimizers
Three basic factors govern the individual behaviour of a particle: the i...
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01/25/2021
Population-Based Methods: PARTICLE SWARM OPTIMIZATION – Development of a General-Purpose Optimizer and Applications
This thesis is concerned with continuous, static, and single-objective o...
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01/25/2021
Combining Particle Swarm Optimizer with SQP Local Search for Constrained Optimization Problems
The combining of a General-Purpose Particle Swarm Optimizer (GP-PSO) wit...
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01/25/2021
Numerical Comparison of Neighbourhood Topologies in Particle Swarm Optimization
Particle Swarm Optimization is a global optimizer in the sense that it h...
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01/25/2021
Particle Swarm Optimization: Fundamental Study and its Application to Optimization and to Jetty Scheduling Problems
The advantages of evolutionary algorithms with respect to traditional me...
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01/25/2021
Constraint-Handling Techniques for Particle Swarm Optimization Algorithms
Population-based methods can cope with a variety of different problems, ...
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01/25/2021
A Study of the Fundamental Parameters of Particle Swarm Optimizers
The range of applications of traditional optimization methods are limite...
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01/25/2021
Particle Swarm Optimization: Development of a General-Purpose Optimizer
Traditional methods present a very restrictive range of applications, ma...
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12/14/2020