In this paper we present a hybrid strategy developed using genetic algorithms (GAs), simulated annealing (SA), and quantum simulated annealing techniques (QSA) for the discrete time–cost trade-off problem (DTCTP). In the hybrid algorithm (HA), SA is used to improve hill-climbing ability of GA. In addition to SA, the hybrid strategy includes QSA to achieve enhanced local search capability. The H...

We imagine a minimal context where programmer A serves as the provider of program X for user B. survey is given plausible promises and accusations in connection with delivery deployment X. When used, various problems may arise. The focus paper on role which plausibly arise scenarios. discuss different accusation patterns that occur outside informatics see whether such appear programming well.

Teaching and learning how to program are not easy tasks. Disapproval dropout rates a concern for everyone concerned with the topic. Therefore, it is necessary look strategies that improve motivation of students who start programming course, also improving success decreasing rates. The inverted class model, or flipped classroom, has been used in several experiments, showing very good results. ob...

Described herein is a general-purpose software engineering architecture for autonomous, computer controlled opponent implementation in modern maneuver warfare simulation and training. The implementation has been developed, refined, and tested in the user crucible for several years. The approach represents a hybrid application of various well-known AI techniques, including domain modeling, agent...

This paper presents a preliminary design and analysis of an optimal energy management and control system for a parallel hybrid electric vehicle using hybrid dynamic control system theory and design tools. The vehicle longitudinal dynamics is analyzed. The practical operation modes of the hybrid electric vehicle are introduced with regard to the given power train configuration. In order to synth...

Computational dynamic programming, while of some use for situations typically encountered in industrial and systems engineering, has proved to be of much greater significance in many areas of computer science. We review some of these applications here.

Real-time programming is a software engineering discipline that has been around ever since the dawn of digital computing. The dream of real-time programmers is to unlock the virtually unlimited potential of software for embedded computer systems — digital computers that are supposed to behave like analog devices. The perfect embedded computer system is invisibly hybrid, it works according to th...

pumps are among the early instruments invented by humans to be taken advantage of in the use of water utilities. design and operation problem of pumping stations is a type of mixed integer non linear programming, in which gradient based optimization methods are not efficient for solving complex problems of this type. in this regard, such evolutionary optimization algorithms as genetic algorithm...