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Showing papers on "Incremental heuristic search published in 1972"


Journal ArticleDOI
TL;DR: This paper presents a method for detecting edges in a digitized picture that has great flexibility because of the global approach and some experimental results are given, which show the performance of this method with noisy pictures.

193 citations


Journal ArticleDOI
TL;DR: Three heuristic algorithms for seeking a quick and near optimal solution to the n-job M-machine flowshop scheduling problem where jobs are processed on all machines in the same order are described.
Abstract: This paper describes three heuristic algorithms for seeking a quick and near optimal solution to the n-job M-machine flowshop scheduling problem where jobs are processed on all machines in the same order, and the objective is to minimize either the mean flowtime or the maximum flowtime (make-span). The proposed heuristic algorithms are extensions of the heuristic rules of the author and are comparatively more effective in finding the optimal or near optimal solution to the problem. Computational experience pertaining to the effectiveness of proposed heuristic algorithms is discussed, indicating that the solutions obtained by proposed heuristic algorithms are compared to the Campbell-Dudek-Smith algorithm.

123 citations


Journal ArticleDOI
TL;DR: A computer language and a set of programs within that language are described which allow the formulating and solving of a class of space planning problems and rely on heuristic programming.
Abstract: A computer language and a set of programs within that language are described which allow the formulating and solving of a class of space planning problems. The language is an extension of Algol and includes means to represent spaces and objects, to manipulate them, and to test the resulting arrangements according to a variety of constraints. The algorithms used to solve problems expressed in this language rely on heuristic programming. Both the language and the search algorithms are detailed.

41 citations



Journal ArticleDOI
TL;DR: The only objective of the note is to describe the parallel yrocessing of processes in the LTM network that are both quite efficient in terms of progrzlmming effort and appear to be andogous to human behavior.

7 citations