Multi-object spectroscopy (MOS) instruments, such as the Two-degree Field (2dF) facility of the Anglo-Australian Observatory (AAO), have facilitated large-scale redshift surveys. Yet despite their acclaim, instrument design has been suspected of introducing subtle selection effects into surveys. Investigation into these selection effects has been overshadowed by instrument complexity. We identi...

Purpose – In order to achieve excellence in manufacturing, goals like lean, economic and quality production with enhanced productivity play a crucial role in this competitive environment. It also necessitates major improvements in generally three primary technical areas: variation reduction, equipment reliability, and production scheduling. Complexity of the real world scheduling problems also ...

An appropriate combination of multiple biometric sensors increases the reliability of verification through biometrics. In this paper we propose an effective method of fusion of biometrics based on a dynamic selection of threshold point of fingerprint and iris biometrics towards identifier of an optimal set of rules for fusion. The effectiveness of the method has been established using several b...

Based on a previously published algorithm capable of estimating the radar cross-section in synthethic aperture radar (SAR) intensity images, a new filter is presented utilizing multilook polarimetric SAR images. The underlying mean covariance matrix is estimated from the observed sample covariance matrices, and by applying a set of small orientation-dependent filters in an iterative scheme, the...

In this paper, we present a simulated annealing algorithm for solving multi-objective simulation optimization problems. The algorithm is based on the idea of simulated annealing with constant temperature, and uses a rule for accepting a candidate solution that depends on the individual estimated objective function values. The algorithm is shown to converge almost surely to an optimal solution. ...

Spatial allocation is the process of assigning different attributes (e.g., land-use or land-cover) to spatial entities (e.g., map polygons or grid cells). It is an exercise that often requires the analysis of multiple, sometimes conflicting, objectives. Multi-objective spatial allocation problems often exhibit substantial computational complexity, especially when spatial pattern characteristics...

A multi-objective optimization problem can be solved by decomposing it into one or more single objective subproblems in some multi-objective metaheuristic algorithms. Each subproblem corresponds to one weighted aggregation function. For example, MOEA/D is an evolutionary multi-objective optimization (EMO) algorithm that attempts to optimize multiple subproblems simultaneously by evolving a popu...

A particular routing problem is considered: a customer asks to load a quantity at one place and to transport it to another one. The aim is to determine the daily routes of a fleet of trucks satisfying the requests of a set of customers. Several constraints must be considered: maximal duration of the daily routes; time-windows at the loading points; request of a particular type of trucks. Severa...

Considering the characteristics of Simulated Annealing Algorithm (SAA), based on the agents’ perception and retroaction to their surroundings, in this paper a new algorithm called Multi-agent Annealing Algorithm (MAA) is presented. And the global convergence of MAA is gotten. Finally, we make several numerical experiments to compare MAA with SAA and Genetic Algorithm (GA) by three classical tes...