PPSN 2010 - PDF Preprint Papers

PPSN 2010 International Conference on Parallel Problem Solving from Nature

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PPSN
2010
Springer

106views Distributed And Parallel Com...» more PPSN 2010»

Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows

1 years 3 months ago

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The Vehicle Routing Problem with Time Windows involves ﬁnding the lowest-cost set of routes to deliver goods to customers, which have service time windows, using a homogeneous �...

Abel Garcia-Najera, John A. Bullinaria

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Id	Views	Title	Status
1	106	Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows	claim
2	96	A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover	claim
3	85	Globally Induced Model Trees: An Evolutionary Approach	claim
4	80	Large-Scale Global Optimization Using Cooperative Coevolution with Variable Interaction Learning	claim
5	75	Ant Colony Optimization with Immigrants Schemes in Dynamic Environments	claim
6	67	Negative Drift in Populations	claim
7	65	Environment-Driven Embodied Evolution in a Population of Autonomous Agents	claim
8	63	Privacy-Preserving Multi-Objective Evolutionary Algorithms	claim
9	62	Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D Tomography	claim
10	62	A Study of Multi-parent Crossover Operators in a Memetic Algorithm	claim
11	61	Design and Comparison of two Evolutionary Approaches for Solving the Rubik's Cube	claim
12	61	A Natural Evolution Strategy for Multi-objective Optimization	claim
13	60	Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search	claim
14	59	First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes	claim
15	58	Comparison-Based Optimizers Need Comparison-Based Surrogates	claim
16	57	Tight Bounds for the Approximation Ratio of the Hypervolume Indicator	claim
17	57	Speculative Evaluation in Particle Swarm Optimization	claim
18	56	An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System	claim
19	55	Mirrored Sampling and Sequential Selection for Evolution Strategies	claim
20	55	Performance of Network Crossover on NK Landscapes and Spin Glasses	claim
21	54	Topography-Aware Sensor Deployment Optimization with CMA-ES	claim
22	54	Using Co-solvability to Model and Exploit Synergetic Effects in Evolution	claim
23	53	Optimisation and Generalisation: Footprints in Instance Space	claim
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25	52	Improved Dynamic Lexicographic Ordering for Multi-Objective Optimisation	claim
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34	42	More Effective Crossover Operators for the All-Pairs Shortest Path Problem	claim
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