Simulation optimization (SO) refers to the optimization of an objective function subject to
constraints, both of which can be evaluated through a stochastic simulation. To address …

Simulation optimization refers to the optimization of an objective function subject to
constraints, both of which can be evaluated through a stochastic simulation. To address …

From household appliances to applications in robotics, engineered systems involving
complex dynamics can only be as effective as the algorithms that control them. While …

The cross-entropy method is a versatile heuristic tool for solving difficult estimation and
optimization problems, based on Kullback–Leibler (or cross-entropy) minimization. As an …

This paper proposes the use of annealing-based quantum computing for solving
combinatorial optimal power flow problems. Quantum annealers provide a physical …

This paper presents a new Monte Carlo simulation (MCS) approach based on cross-entropy
(CE) method to evaluate generating capacity reliability (GCR) indices. The basic idea is to …

This paper proposes a new approach to evaluate loss of load indices in composite
generation and transmission systems. The main idea is to combine a Cross-Entropy (CE) …

This paper presents a new hybrid approach integrating the cross-entropy (CE) algorithm and
the sequential quadratic programming (SQP) technique to solve the economic load dispatch …

Power systems employ measures of reliability indices to indicate the effectiveness a power
system to perform its basic function of supplying electrical energy to its consumers. The …

This paper proposes a new methodology to evaluate system generating capacity reliability
indices considering time-dependent power sources and loads. Based on sequential Monte …