A probabilistic approach which exploits the domain and distribution of the uncertain model parameters has been developed for the design of robust input shapers. A Polynomial Chaos based expansion approach is used to approximate uncertain system states and cost functions in terms of finite-dimensional series expansion in the stochastic space. Residual energy of the system is used as cost functio...

this article aims to provide a simple robust method to test the parameters of a normal population by using the new diagnostic tool called the “forward search” (fs) method. the most commonly used procedures to test the mean and variance of a normal distribution are student’s t test and chi-square test, respectively. these tests suffer from the presence of outliers. we introduce the fs version of...

This paper investigates a Multistage Distributionally Robust Optimization (MDRO) approach to water allocation under climate uncertainty. The MDRO is formed by creating sets of conditional distributions (called ambiguity sets) on finite scenario tree. in the remain close nominal distribution according ϕ-divergence (e.g., Kullback-Leibler divergence, Hellinger distance, Burg entropy, etc.). discu...

This paper presents an asset liability management model based on robust optimization techniques. The model explicitly takes into consideration the time-varying aspect of investment opportunities. The emphasis of the proposed approach is on computational tractability and practical appeal. Computational studies with real market data study the performance of robust-optimization-based strategies, a...

This paper offers three easy-to-use metaphor-less optimization algorithms proposed by Rao to solve the optimal power flow (OPF) problem. are parameter-less algorithms. As a result, algorithm-specific parameter tuning is not required at all. quality makes these simple use and able various kinds of complex constrained engineering problems. In this paper, main aim OPF problem find values control v...

This study examines a stochastic disassembly assembly routing problem with returns (SDARP-R), in which yields are considered uncertain due to the unknown status of returned products. We introduce new formulation for robust SDARP-R defined by discrete scenarios. address five hypotheses, where different levels decision flexibility given. Analyses indicate that allowing procurement process improve...