Simulated annealing is a widely used algorithm for the computation of global optimization
problems in computational chemistry and industrial engineering. However, global optimum …

Purpose: The efficiency of medical staff is a fundamental feature of healthcare facilities
quality. Therefore the better implementation of their preferences into the scheduling problem …

The thesis seeks to use simulated annealing optimization to minimize the difference
between the value of the libor model volatility and the ones quoted in the market for a …

摘# 要: 粒子群算法(YCDLSP; RK\CDZ: YLSZSdCLS:>,4 () 是## 容易实现i 高效的优化算法,
但该算法对各# 参数反应较为敏感< & 文针对经典粒子群算法容易陷¢ 局部最优的不足之处进行 …

Finance regulators require banking institutions to be able to conduct regular scenario
analyses to assess their resistance to various shocks (stress tests) of their exposures, in …

The objective of the portfolio optimization problem is to search an optimal solution for
investing an amount as a stipulated value if a set of assets or securities is given. This paper …

In his seminal publication to the field of growth optimal strategies, Kelly (1956) has outlined
how a receiver of a noisy signal with information on the outcome of a game can use that …

Reconstruction, which is the core of compressive sensing (CS), can be implemented by l0
norm minimization. In practice, l0 norm minimization is a NP-hard problem that requires …

The improvement in materials strength as days goes and goes, hybrid type of
unconventional machining process has been developed and continuous. In that case …

Machining of super alloys, composite materials and some high strength hard to machine
materials by using Electrical Discharge Machining (EDM) produces poor quality surface …