Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
In this paper we first present a uniformity property that characterises optimal channel assignments for networks arranged as cellular or square grids. Then, we present optimal ch...
Madhusudana V. S. Shashanka, Amrita Pati, Anil M. ...
Abstract. Particle swarm optimization (PSO) is a new evolutionary computation technique. Although PSO algorithm possesses many attractive properties, the methods of selecting inert...
In this paper we consider the problem of using disk blocks efficiently in searching graphs that are too large to fit in internal memory. Our model allows a vertex to be represented...
Mark H. Nodine, Michael T. Goodrich, Jeffrey Scott...
Languages with polymorphic types (e.g. ML) have traditionally been implemented using Lisp-like data representations--everything has to fit in one word, if necessary by being heap-...