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Showing papers on "Metaheuristic published in 1975"


Journal ArticleDOI
TL;DR: The methods used to control the internal physical environment of buildings have been examined systematically from an optimizing viewpoint and detailed services such as aii-conditioning and vertical transportation have been treated.
Abstract: The introduction of numerical methodologies to Architecture is very recent. However, the last ten years has seen the application of optimization techniques to many of the problems of Architecture previously considered to be non-numeric: this paper reviews the panoply of these applications. The optimization problem which appears to have attracted the most attention is that of the layout of spaces or planning. Various techniques have been applied to this combinatorial problem but as yet there appears to be no algorithm available which produces a global optimum. The development of sites in cities has also been treated as an optimization problem with considerable success; various search methods as well as dynamic programming have been applied here. The methods used to control the internal physical environment of buildings (building services) have been examined systematically from an optimizing viewpoint. Detailed services such as aii-conditioning and vertical transportation have been treated. Materials select...

27 citations


Journal ArticleDOI
P. Huard1
TL;DR: Two general nonlinear optimization algorithms generating a sequence of feasible solutions based on the concept of point-to-set mapping continuity are described and the results unify these apparently diverse approaches.
Abstract: Two general nonlinear optimization algorithms generating a sequence of feasible solutions are described. The justifications for their convergence are based on the concept of point-to-set mapping continuity. These two algorithms cover many conventional feasible solution methods. The convergence results unify these apparently diverse approaches.

27 citations


Book ChapterDOI
01 Jan 1975
TL;DR: In this paper, the problem of finding integers x = (xj: j ∈ J) such that x ≥ 0, Ax ≤ b, and cx is maximum was studied.
Abstract: One form of the integer 1.p. problem is to (1) find integers x = (xj: j ∈ J) such that (2) x ≥ 0, Ax ≤ b, and (3) cx is maximum, where A = (aij: i ∈ I, j ∈ J), b = (bi: i ∈ I), and c = (cj: j ∈ J) are given integers. Usually some condition holds on A, b, and c which makes it obvious that there is a finite algorithm — let us say that (4) x ≤ d for every x of (2).

20 citations


Proceedings ArticleDOI
01 Jan 1975

12 citations


01 Jun 1975
TL;DR: Findings from a literature search and contacts with professionals involved in current research on those optimization techniques which can be applied to the identification of an optimum value for a single output performance measure when a family of input variables can assume either continuous or discrete values are considered.
Abstract: : This paper reports on the state of the art of available optimization techniques which can be associated with computerized simulation models Specifically, the paper focuses on findings from a literature search and contacts with professionals involved in current research on those optimization techniques which can be applied to the identification of an optimum value for a single output performance measure when a family of input variables can assume either continuous or discrete values In addition, the research considers a set of measures of effectiveness which can be used to assess the relative merits of the various optimization techniques encountered without providing a numerical ranking

10 citations


Journal ArticleDOI
TL;DR: The problem of multiple-objective optimization for the environment development system is formulated and the so-called Pareto-optimal solution set is formulated, related in a one-to-one manner to a family of auxiliary scalar index problems.
Abstract: This paper deals with multiple-objective optimization problems for the environment development system. The model of the environment development system, which was introduced by Kulikowski, is described by a system of non linear differential equations which include interconnected n exogenous and m endogenous controlled factors or processes. The problem of multiple-objective optimization for the environment development system is formulated. A main difficulty of multiple-objective optimization is that it is no longer clear what one means by an optimal solution. A possible remedy for this situation is to refine the concept of optimal solution by introducing the so-called Pareto-optimal solution set. Then multiple-objective optimization problem boils down to determining the set of Pareto-optimal solutions. The Pareto-optimal solution set is related in a one-to-one manner to a family of auxiliary scalar index problems. For an unconstrained multiple-objective optimization problem for the environment deve...

7 citations


Book ChapterDOI
08 Sep 1975
TL;DR: It was found that SICOBA could be used mainly for the three following purposes: testing various strategies on various combinatorial optimization problems, helping to find better heuristics and for solving directly complex problems without using mathematical models.
Abstract: It was found that SICOBA could be used mainly for the three following purposes for testing various strategies on various combinatorial optimization problems for helping to find better heuristics for solving directly complex problems without using mathematical models.