In this paper, optimal design of arch dams is performed under frequency limitations. Colliding Bodies Optimization (CBO), a recently developed meta-heuristic optimization method, which has been successfully applied to several structural problems, is revised and utilized for finding the best feasible shape of arch dams. The formulation of CBO is derived from one-dimensional collisions between bo...

We present a novel penetration depth estimation algorithm based on the use of deformed distance fields for simulation of non-penetrating flexible bodies. We assume that the continuum of non-rigid models are discretized using standard techniques, such as finite element methods. As the objects deform, the distance fields are deformed accordingly to estimate penetration depth, allowing enforcement...

I describe the development of a program to simulate the dynamic behaviour of interacting rigid bodies. Such a simulation may be used to generate animations of articulated characters in 3D graphics applications. Bodies may have an arbitrary shape, defined by a triangle mesh, and may be connected with a variety of different joints. Joints are represented by constraint functions which are solved a...

Best Management Practices (BMPs) are implemented in a watershed to reduce the amount of non-point source pollutants transported to water bodies. However, an optimization algorithm is required to choose the efficient type, size, and location of BMPs for application in a watershed for improving the water quality. In this study, the Charged System Search, a well-known and powerful meta-heuristic o...

We present a fast penetration depth estimation algorithm between deformable polyhedral objects. We assume the continuum of non-rigid models are discretized using standard techniques, such as finite element or finite difference methods. As the objects deform, the distance fields are deformed accordingly to estimate penetration depth, allowing enforcement of non-penetration constraints between tw...

This paper proposes a multi-objective genetic algorithm to optimize a manipulator trajectory. The planner has several objectives namely the minimization of the space and join arm displacements and the energy required in the trajectory, without colliding with any obstacles in the workspace. Simulations results are presented for robots with two and three degrees of freedom, considering the optimi...

This contribution describes a parallel approach for determining the collision state of a large collection of ellipsoids. Collision detection is required in granular dynamics simulation where it can combine with a differential variational inequality solver or discrete element method to approximate the time evolution of a collection of rigid bodies interacting through frictional contact. The appr...

In this paper, we discovered a new class of colliding key pairs of RC4, namely, two different secret keys generate the same internal state after RC4’s key scheduling algorithm. This is to our knowledge the first discovery of RC4 colliding keys with hamming distance greater than one, that is, the colliding key pairs we found can differ from each other at three different positions, and the value ...

in this paper, landscape allocation using genetic algorithm (laga), a spatial multi-objective land use optimization software is introduced. the software helps in searching for optimal land use when multiple objectives such as suitability, area, cohesion and edge density indices are simultaneously involved. laga is a flexible and easy to use genetic algorithm-based software for optimizing the sp...