Random heuristic search

PSEUDO-RANDOM DIRECTIONAL SEARCH: A NEW HEURISTIC FOR OPTIMIZATION

Meta-heuristics have already received considerable attention in various fields of engineering optimization problems. Each of them employes some key features best suited for a specific class of problems due to its type of search space and constraints. The present work develops a Pseudo-random Directional Search, PDS, for adaptive combination of such heuristic operators. It utilizes a short term...

Random Heuristic Search

There is a developing theory of growing power which, at its current stage of development (indeed, for a number of years now), speaks to qualitative and quantitative aspects of search strategies. Although it has been specialized and applied to genetic algorithms, it's implications and applicability are far more general. This paper deals with the broad outlines of the theory, introducing basic pr...

A random search heuristic for a multi-objective production planning

Real world production planning is involved in optimizing different objectives while considering a spectrum of parameters, decision variables, and constraints of the corresponding cases. This comes from the fact that production managers desire to utilize from an ideal production plan by considering a number of objectives over a set of technological constraints. This paper presents a new multi-ob...

Heuristic Search vs. Exhaustive Search

A theorem proving system embodying a systematic search procedure is de sen bed. Al though the search spaces are usually infinite, and not even locally finite, the asymmetric way in which thev are generated results in a speed that is es 11ma-ted to be one to two orders of magnitude faster than the theorem provers of Quinlan and Hunt, and Chang and the problem-solver of Kikes, to whi c h this sys...

Heuristic Search in Planning