Optimum scheduling of hydrothermal plants generation is of great importance to electric utilities. Many evolutionary techniques such as particle swarm optimization, differential evolution have been applied to solve these problems and found to perform in a better way in comparison with conventional optimization methods. But often these methods converge to a sub-optimal solution prematurely. This...

The purpose of this paper is to study properties of mapped shuffled Fibonacci languages F(afi) and F^vy Let X — {a?6} be an alphabet and let X* be the free monoid generated by X. Let 1 be the empty word and let X+ — X* \ {1}. The length of a word u is denoted by lg(w). Every subset of X* is called a language. For two words u, v E X + ? we consider the following type of Fibonacci sequence of words:

Paper presents predator–prey based optimization (PPO) technique to obtain optimal generation scheduling of short-term hydrothermal system. PPO is a part of the swarm intelligence family and is capable to solve large scale non-linear optimization problems. PPO based algorithm combines the idea of particle swarm optimization concept with predator effect that helps to, maintain diversity in the sw...

In order to overcome the defects of Shuffled Frog Leaping Algorithm (SFLA) such as nonuniform initial population, slow searching speed in the late evolution and easily trapping into local extremum, a new Shuffled Frog Leaping Algorithm based on mutation operator and population diversity is proposed in this paper. The algorithm has overcome the disadvantage mentioned above. The algorithm efficie...

We consider the problem of inference in a linear regression model in which the relative ordering of the input features and output labels is not known. Such datasets naturally arise from experiments in which the samples are shuffled or permuted during the protocol. In this work, we propose a framework that treats the unknown permutation as a latent variable. We maximize the likelihood of observa...

This paper presents a Shuffled Frog Leaping Algorithm to seek the optimal number and location of FACTS devices in a power system. Unified Power Flow Controller (UPFC) has great flexibility that can control the active and reactive power flow and bus voltages, simultaneously. Decoupled model of the UPFC is applied to maximize the system loadability subject to the transmission line capacity limits...

This dissertation is a study on the use of swarm methods for optimization, and is divided into three main parts. In the first part, two novel swarm metaheuristic algorithms—named Survival Sub-swarms Adaptive Particle Swarm Optimization (SSS-APSO) and Survival Sub-swarms Adaptive Particle Swarm Optimization with velocity-line bouncing (SSS-APSO-vb)—are developed. These new algorithms present sel...

the aim of this work is to understand the relation between time and place that an earthquake takes place. in order to answer this question, the modified level crossing (mlc) technique has been implemented. by studying two earthquakes, one in iran and one in california we came to the conclusion that there is a relation between time and place of an earthquake occurrence. as a matter of fact, this...