Efficient evaluation genetic algorithm under integrated fitness functions
نویسنده
چکیده
منابع مشابه
An Efficient Genetic Agorithm for Solving the Multi-Mode Resource-Constrained Project Scheduling Problem Based on Random Key Representation
In this paper, a new genetic algorithm (GA) is presented for solving the multi-mode resource-constrained project scheduling problem (MRCPSP) with minimization of project makespan as the objective subject to resource and precedence constraints. A random key and the related mode list (ML) representation scheme are used as encoding schemes and the multi-mode serial schedule generation scheme (MSSG...
متن کاملFinding the Optimal Path to Restoration Loads of Power Distribution Network by Hybrid GA-BCO Algorithms Under Fault and Fuzzy Objective Functions with Load Variations
In this paper proposes a fuzzy multi-objective hybrid Genetic and Bee colony optimization algorithm(GA-BCO) to find the optimal restoration of loads of power distribution network under fault.Restoration of distribution systems is a complex combinatorial optimization problem that should beefficiently restored in reasonable time. To improve the efficiency of restoration and facilitate theactivity...
متن کاملInternational Portfolio Diversification at Industry Level within South-East Asian Stock Markets
The issue of financial integration, at the country level, is a well-documented phenomenon in the area of International Portfolio Diversification (IPD). Despite the increasing degree of financial integration, it is important to investigate the global integration at industry level to capture the potential benefits of IPD. Thus, this study attempts to evaluate the potential advantages of IPD for i...
متن کاملA Comparative Study of VHDL Implementation of FT-2D-cGA and FT-3D-cGA on Different Benchmarks (RESEARCH NOTE)
This paper presents the VHDL implementation of fault tolerant cellular genetic algorithm. The goal of paper is to harden the hardware implementation of the cGA against single error upset (SEU), when affecting the fitness registers in the target hardware. The proposed approach, consists of two phases; Error monitoring and error recovery. Using innovative connectivity between processing elements ...
متن کاملImproving Genetic Algorithms' Efficiency Using Intelligent Fitness Functions
Genetic Algorithms are an effective way to solve optimisation problems. If the fitness test takes a long time to perform then the Genetic Algorithm may take a long time to execute. Using conventional fitness functions Approximately a third of the time may be spent testing individuals that have already been tested. Intelligent Fitness Functions can be applied to improve the efficiency of the Gen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001