time-dependent vehicle routing problem is one of the most applicable but least-studied variants of routing and scheduling problems. in this paper, a novel mathematical formulation of time-dependent vehicle routing problems with heterogeneous fleet, hard time widows and multiple depots, is proposed. to deal with the traffic congestions, we also considered that the vehicles are not forced to come...

Trajectory planning is always a hot issue for harvesting manipulator in practice considering that the limitations of mechanical structure and other nonlinear factors lead to long harvest time, big jerk high energy consumption. The cubic spline algorithm, fifth-order polynomial interpolation fusing algorithm are used shorten reduce enhance robustness manipulator, respectively. Then trajectory pr...

Reglero. This work will never be produced without kindly help and assistance of professors Francisco Herrera and Antonio Gonzáles. And I am gratefull to Rocio Romero for providing me NSGA II description.

Mobile systems have limited resources such as battery life, network bandwidth, storage capacity, and CPU performance. These restrictions may be reduced by the extra-time computing: a heavy calculations and get results from server to server. Barry out a way to strengthen the capabilities of the transmission system, mobile computing is rich in computers. The main issue in this paper to obtain an ...

The Protein Structure Prediction (PSP) problem is concerned about the prediction of the native tertiary structure of a protein in respect to its amino acids sequence. PSP is a challenging and computationally open problem. Therefore, several researches and methodologies have been developed for it. In this way, developers are working to integrate frameworks in order to improve their capabilities ...

Static Var compensator (SVC) is one of flexible AC transmission system (FACTS) elements mainly used for reactive power and voltage control in power systems. This paper deals with multi-modal electromechanical oscillations damping in the presence of severe disturbances. These oscillations include local modes, interarea modes and inter-plant modes. To enhance the damping of the oscillations, a co...

This chapter presents the application of a comprehensive statistical analysis for both algorithmic performance comparison and optimal parameter estimation on a multi-objective digital signal processing problem. The problem of designing optimum digital finite impulse response (FIR) filters with the simultaneous approximation of the filter magnitude and phase is posed as a multiobjective optimiza...

In this paper, a new reactive power market clearing (RPMC) mechanism for day-ahead competitive electricity market is developed based on multi-objective optimization approach. In proposed mechanism, three objective functions such as total payment function (TPF) for reactive power support from generators and synchronous condensers, total real transmission loss (TRTL) and voltage stability enhance...

Multiobjective optimization of a set of N identical reverse-flow cyclone separators in parallel was carried out by using the nondominated sorting genetic algorithm (NSGA). Two objective functions were used: the maximization of the overall collection efficiency and the minimization of the pressure drop. Nondominated Pareto optimal solutions were obtained for an industrial problem in which 165 m3...

In this paper we propose two novel approaches for solving constrained multi-objective optimization problems using steady state GAs. These methods are intended for solving real-world application problems that have many constraints and very small feasible regions. One method called Objective Exchange Genetic Algorithm for Design Optimization (OEGADO) runs several GAs concurrently with each GA opt...