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A new fuzzy genetic algorithm (FGA) is developed to optimize Hilbert fractal defected ground structure (HDGS), designed bandstop filter. The genetic operators (crossover and mutation) are self-adaptively adjusted by fuzzy controller of the algorithm, so convergent character and global optimization are improved. Fitness function is constructed by the HDGS stopband and pass-band transmission characteristics...
An improved quantum genetic algorithm (IQGA) is proposed for path planning of mobile robot in unknown environment, which uses problem-specific quantum genetic algorithm for robot path planning instead of the standard genetic algorithm(GA) and quantum genetic algorithm(QGA). Six genetic operators operated chromosomes and improved fitness function to evaluate new individuals, and this algorithm is capable...
This paper proposes a real coded hybrid local evolutionary strategy (μ + λ) (RCHLES) to predict 3D protein tertiary structure of HP model with Ab Initio method. This strategy codes each amino acid sequence by the proposed discrete real code instead of binary code. The strategy devises the genetic operators, selection strategy, the fitness function, control parameter and termination criteria. The method...
This work investigates the application of cultural algorithms in the field of evolutionary electronics. Cultural Algorithms is an evolutionary model inspired by the cultural evolution process which shows many excellent characteristics and has succeeded in solving some complicated problems. Based on the population space in which individual evolves, the belief space is constructed, in which effective...
Arranging university course's timetable is problematic. It differs from other timetabling problems in terms of conditions. A complete university timetable must reach several requirements involving students, subjects, lecturers, classes, laboratory's equipments, etc. This paper proposes a genetic algorithm model applied for improving effectiveness of automatic arranging university timetable. Hard constraints...
This paper applies a standard genetic algorithm to the optimization of the quantum circuits. We propose a new coding scheme, which encodes quantum gates as integers and stores circuit topology information in the position of the integers. The design of the corresponding fitness function and genetic operators are also discussed. The quantum teleportation circuit, a typical quantum computation process,...
MPLS technology become more and more popular especially in core networks giving great flexibility and compatibility with existing Internet protocols. There is a need to optimal design such networks and optimal bandwidth allocation. Linear programming is not time efficient and does not solve nonlinear problems. Heuristic algorithms are believed to deal with these disadvantages and the most promising...
Location knowledge of sensor nodes in a network is essential for many tasks such as routing, cooperative sensing, or service delivery in ad hoc, mobile, or sensor networks, and it is hard to get the precision solution by traditional node localization algorithm, while genetic algorithm is an effective methodology for solving combinatorial optimization problems, so, in this paper, a real-coded version...
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