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EVOW
2004
Springer
16 years 5 days ago
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept
Abstract. Dynamic optimization using evolutionary algorithms is receiving increasing interests. However, typical test functions for comparing the performance of various dynamic opt...
Yaochu Jin, Bernhard Sendhoff
AMC
2006
115views more  AMC 2006»
15 years 6 months ago
A memetic algorithm for a vehicle routing problem with backhauls
This paper considers an extension of a vehicle routing problem with backhauls (VRPB). In this problem, a set of costumers are divided in two subsets consisting of linehaul and bac...
Reza Tavakkoli-Moghaddam, A. R. Saremi, M. S. Ziae...
EVOW
2007
Springer
16 years 29 days ago
Tackling the Container Loading Problem: A Hybrid Approach Based on Integer Linear Programming and Genetic Algorithms
Abstract. This paper presents a novel hybrid approach for solving the Container Loading (CL) problem based on the combination of Integer Linear Programming (ILP) and Genetic Algori...
Napoleão Nepomuceno, Plácido Rog&eac...
CEC
2005
IEEE
16 years 12 days ago
Performance of aggregation pheromone system on unimodal and multimodal problems
This paper describes and analyzes the aggregation pheromone system (APS) algorithm, which extends ant colony optimization (ACO) to continuous domains. APS uses the collective behav...
Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh
EMO
2005
Springer
68views Optimization» more  EMO 2005»
16 years 9 days ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg