AN ANALYSIS OF MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS FOR OPTIMIZATION PROBLEMS WITH TIME CONSTRAINTS

Author:

Cámara M.,de Toro F.,Ortega J.

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Reference43 articles.

1. Bosman , P. A. N. 2005 . Learning, anticipation and time-deception in evolutionary online dynamic optimization. GECCO'05: InProceedings of the 2005 workshops on genetic and evolutionary computation, 39–47 . New York , NY , USA : ACM .

2. Bosman , P. A. N. , and H. L. Poutré . 2007 . Learning and anticipation in online dynamic optimization with evolutionary algorithms: The stochastic case. GECCO'07: InProceedings of the 9th annual conference on genetic and evolutionary computation, 1165–1172 . New York , NY , USA : ACM .

3. A DISTRIBUTED MULTI-CRITERIA APPROACH FOR TRAFFIC REGULATION IN PUBLIC TRANSPORTATION SYSTEMS

4. Anticipation and flexibility in dynamic scheduling

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1. Evolutionary Algorithms for Multi-Objective Scheduling in a Hybrid Manufacturing System;Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems;2018

2. Multiobjective Optimization;Search and Optimization by Metaheuristics;2016

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