We discuss the nonabelian world-volume action which governs the dynamics of N coincident Dp-branes. In this theory, the branes’ transverse displacements are described by matrix-valued scalar fields, and so this is a natural physical framework for the appearance of noncommutative geometry. One example is the dielectric effect by which Dp-branes may be polarized into a noncommutative geometry by ...

Converting programs from full or PR-Hume to FSMor HW-Hume involves transforming expression recursion to box iteration. However, this can add considerable overheads through unnecessary scheduling of other boxes dependent on the iteration output. Here we explore how analysis of output behaviour can identify boxes which may be executed independently of normal super-step scheduling, without affecti...

We present Tabu Search based solution heuristics for the Timber Transport Vehicle Routing Problem (TTVRP) that differ with respect to solution space. The TTVRP is characterized as follows: a fleet of m log-trucks which are situated at the respective homes of the truck drivers has to fulfil n transports of round timber between different wood storage locations and industrial sites. All transports...

In this work we use the Noor iteration process for total asymptotically nonexpansive mapping to establish the strong and $Delta$-convergence theorems in the framework of CAT(0) spaces. By doing this, some of the results existing in the current literature  generalize, unify and extend.

In this paper, we empirically investigate the convergence properties of policy iteration applied to the optimal control of systems with continuous state and action spaces. We demonstrate that policy iteration requires lesser iterations than value iteration to converge, but requires more function evaluations to generate cost-to-go approximations in the policy evaluation step. Two different alter...

Recently, fitted Q-iteration (FQI) based methods have become more popular due to their increased sample efficiency, a more stable learning process and the higher quality of the resulting policy. However, these methods remain hard to use for continuous action spaces which frequently occur in real-world tasks, e.g., in robotics and other technical applications. The greedy action selection commonl...

As a new swarm intelligence optimization method, firefly algorithm shows good performance on many complex optimization problems. However, due to the fixed parameters of FA, it is difficult to adapt to environmental changing during the iteration process, and FA easily lose its diversity and lead to premature convergence. In this paper, an adaptive step firefly algorithm based on population diver...