Evolvable hardware is a type classification of reconfigurable hardware. This gives designer run time hardware configuration facility that is optimized in many senses. The basic methodology of designing evolvable hardware comes from genetic algorithm. Genetic algorithm defines different operator on a given problem that are run iteratively to reach optimal solution. One such operator is crossover...

Traditional genetic algorithms use operator settings such as the crossover rate or number of crossover points that are xed throughout a given run. The choice of settings can have a major eeect on performance, but nding good settings can be hard. One option is to encode the operator settings onto each member of the GA population, and allow them to evolve too. This paper describes an empirical in...

The efficiency of the GA is highly dependent on the chosen encoding and genetic operators. In this note we present a theoretical (but applicable) framework for dynamic recoding of the GA search space as well as for the redefinition of the operators, in particular crossover, acting on it. One of our basic tools consists of embedding finite search spaces into infinite ones (both infinite populati...

In this paper, we propose a new genetic algorithm based on the two-dimensional encoding method. Appropriate two-dimensional crossover and mutation operations are designed based on the two-dimensional representation to generate the next generations. A twodimensional repairing mechanism is also proposed to adjust infeasible chromosomes into feasible ones. Experiments are finally made to show the ...

Crossover and mutation are two of the most important genetic operators found in genetic algorithms. There has been much debate as to which of these is practically and theoretically more effective. This literature review highlights the principal milestones of this debate. The conclusion we reach is that there is no evidence to show that either operator is better than the other, and that both ope...

Transposition is a new genetic operator alternative to crossover and allows a classical GA to achieve better results. This mechanism characterized by the presence of mobile genetic units must be used with the right parameters to enable maximum performance to the GA. This paper presents the results of an empirical study which offers the main guidelines to choose the proper setting of parameters ...

A rtificial bee Colony algorithm (ABC) is a population based heuristic search technique used for optimization problems. ABC is a very effective optimization technique for continuous optimization problem. Crossover operators have a better exploration property so crossover operators are added to the ABC. This paper presents ABC with different types of real coded crossover operator and its applica...

Dispatch scheduling policies offer a computationally inexpensive approach to many scheduling problems as an alternative to more processor intensive search algorithms. They are especially useful in dynamic situations where problem solving may be temporally constrained. However, dispatch heuristics have also been effectively used for guidance within more intensive search algorithms, expanding the...

Symmetry is among the most fundamental and powerful concepts in nature, whose existence usually taken as given, without explanation. We explore whether symmetry can be derived from more principles perspective of quantum information. Starting with a two-qubit system, we show there are only two minimally entangling logic gates: Identity SWAP, where SWAP interchanges states qubits. further demonst...