This paper presents adaptive finite state automata as an alternative formalism to model individuals in a genetic algorithm environment. Adaptive finite automata, which are basically finite state automata that can change their internal structures during operation, have proven to be an attractive way to represent simple learning strategies. We argue that the merging of adaptive finite state autom...

This paper extends the theoretical analysis of the Adaptive Reservoir Genetic Algorithm (ARGA), a variant of a Genetic Algorithm (GA) proposed by the authors in [4]. We show that ARGA visits the global optimum after a finite number of iterations with probability one, regardless of the initialization of the population. Key-Words: Genetic Algorithms, convergence analysis, adaptive control of search.

This paper investigates a tabu assisted genetic algorithm based hyper-heuristic (hyper-TGA) for personnel scheduling problems. We recently introduced a hyper-heuristic genetic algorithm (hyper-GA) with an adaptive length chromosome which aims to evolve an ordering of low-level heuristics in order to find good quality solutions to given problems. The addition of a tabu method, the focus of this ...

Simulation studies of two branch prediction schemes in superscalar pipelined computers are presented in this paper. The two studied methods are the Per-address Adaptive (PA) scheme and the Global Adaptive (GA) scheme. In addition , simulation studies of a modification of the PA scheme, called Switched P/G Adaptive (SPGA), are also presented. Using several benchmarks, it has been illustrated tha...

Self-organization systems are an increasingly attractive dynamic processes without a central control, emerge global order from local interactions in a bottom up approach. The advantage of blending the concept of self-organization enhances the working efficiency of other techniques to find a solution of huge search problem. Genetic Algorithms (GA) is such a technique, inspired by the natural evo...

Work done in this paper is on the adaptive beam former of linear array with constant spacing (ULA). To get the beam former, PSO&GA are enforced. This paper presents the study of smart antenna beam formation where the main beam is configured by weighing and summing the antenna outputs. In order to adjust the ULA to the multifarious medium, PSO&GA are employed to account heterogeneous weight valu...

This paper develops a novel genetic algorithm (GA) based methodology for optimal tuning of a reported fuzzy dispatching system for a fleet of automated guided vehicles in a flexible manufacturing environment. The reported dispatching rules are transformed into a continuously adaptive procedure to capitalize the on-line information available from a shop floor at all times. Simulation results obt...