Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sen Bong Gee"'
Publikováno v:
IEEE Transactions on Cybernetics. :1-12
Growing trend of the dynamic multiobjective optimization research in the evolutionary computation community has increased the need for challenging and conceptually simple benchmark test suite to assess the optimization performance of an algorithm. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::845d64ce8f749125b1eaa0d5c8463f2b
https://doi.org/10.1109/tcyb.2016.2519450
https://doi.org/10.1109/tcyb.2016.2519450
Publikováno v:
Soft Computing. 20:3443-3453
Vehicle routing problem with stochastic demands (VRPSD) is a famous and challenging optimization problem which is similar to many real world problems. To resemble the real world scenario, total traveling distance, total driver remuneration, the numbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fa736df26600bf6cfc75e6361ccbdae
https://doi.org/10.1007/s00500-015-1830-2
https://doi.org/10.1007/s00500-015-1830-2
Evolutionary multiobjective optimization in dynamic environments is a challenging task, as it requires the optimization algorithm converging to a time-variant Pareto optimal front. This paper proposes a dynamic multiobjective optimization algorithm w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6be150038bfb04256f34d0c84c6713ae
http://hdl.handle.net/11311/1011695
http://hdl.handle.net/11311/1011695
Publikováno v:
Procedia Computer Science. 24:66-75
Multiobjective optimization is a challenging task, especially in a changing environment. The study on dynamic multiobjective optimization is so far very limited. Benchmark problems, appropriate performance metrics, as well as efficient algorithms are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17f143584da012a9516faa804361fc4b
Publikováno v:
Proceedings in Adaptation, Learning and Optimization ISBN: 9783319133584
Associative memory is defined as the ability to map input patterns to output patterns. Understanding how human brain performs association between unrelated patterns and stores this knowledge is one of the most important goals in computational intelli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d37965dc8931fc3b192c3a723bea12d
https://doi.org/10.1007/978-3-319-13359-1_43
https://doi.org/10.1007/978-3-319-13359-1_43
Publikováno v:
2014 International Conference on Soft Computing and Machine Intelligence.
Vehicle Routing Problem (VRP) is a famous combinatorial optimization problem and it has been extended to a multi-objective optimization perspective. This paper targets solving VRP with stochastic demand (VRPSD) under the constraints of available time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d558b445550dab29347b9902676bb3d7
https://doi.org/10.1109/iscmi.2014.18
https://doi.org/10.1109/iscmi.2014.18
Autor:
Sen Bong Gee, Kay Chen Tan
Publikováno v:
IEEE Congress on Evolutionary Computation
Convergence and diversity are two crucial issues in evolutionary multiobjective optimization. To enhance the diversity property of Multiobjective Evolutionary Algorithm (MOEA), a novel selection method is implemented on decomposition-based MOEA (MOEA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22fc5082bf085d63767c8f2d495bb5f6
https://doi.org/10.1109/cec.2014.6900617
https://doi.org/10.1109/cec.2014.6900617
Publikováno v:
Intelligent Data Engineering and Automated Learning – IDEAL 2013 ISBN: 9783642412776
IDEAL
IDEAL
Recently, decomposition-based multi-objective evolutionary algorithm MOEA/D has received increasing attentions due to its simplicity and decent optimization performance. In the presence of the deceptive optimum, the weight vector approach used in MOE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::710128d295cfeb3b496101dbc8482c5f
https://doi.org/10.1007/978-3-642-41278-3_33
https://doi.org/10.1007/978-3-642-41278-3_33
Publikováno v:
Intelligent Data Engineering and Automated Learning – IDEAL 2013 ISBN: 9783642412776
IDEAL
IDEAL
We address the problem of expensive multi-objective optimization using a machine learning assisted model of evolutionary computation. Specifically, we formulate a meta-objective function tailored to the framework of MOEA/D, which can be solved by mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56a876d8b031f7d2729134e7cd1a132c
https://doi.org/10.1007/978-3-642-41278-3_67
https://doi.org/10.1007/978-3-642-41278-3_67
Publikováno v:
GLOBECOM Workshops
In this paper, we consider a cooperative multiuser wireless cellular system under multipath fading channels. All base stations (BSs) and mobile stations (MSs) are equipped with multiple antennas. The multiuser interference in such a system is inheren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db0225ee9e632d5db4593a1a9ec03330
https://doi.org/10.1109/glocomw.2011.6162497
https://doi.org/10.1109/glocomw.2011.6162497