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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
14 years 19 days ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 1 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
INFORMATICALT
2000
125views more  INFORMATICALT 2000»
13 years 7 months ago
An Algorithm for Construction of Test Cases for the Quadratic Assignment Problem
In this paper we present an algorithm for generating quadratic assignment problem (QAP) instances with known provably optimal solution. The flow matrix of such instances is constru...
Gintaras Palubeckis
CEC
2010
IEEE
13 years 7 months ago
Multi-objective mobile agent-based Sensor Network Routing using MOEA/D
Abstract— Mobile agents are often used in wireless sensor networks for distributed target detection with the goal of minimizing the transmission of non-critical data that negativ...
Andreas Konstantinidis 0002, Christoforos Charalam...
CEC
2007
IEEE
14 years 1 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley