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Publication search results
found 60 matches
- 2019
- Mohamed Abouhawwash, Mohamed A. Jameel:
Evolutionary Multi-objective Optimization Using Benson's Karush-Kuhn-Tucker Proximity Measure. EMO 2019: 27-38 - Fateme Azimlu, Shahryar Rahnamayan, Masoud Makrehchi, Pedram Karimipour-Fard:
Designing Solar Chimney Power Plant Using Meta-modeling, Multi-objective Optimization, and Innovization. EMO 2019: 731-742 - Sunith Bandaru, Amos H. C. Ng:
Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space. EMO 2019: 605-617 - Erica Berghman, Yves De Smet, Jean Rosenfeld, Dimitri Van Assche:
A Dichotomous Approach to Reduce Rank Reversal Occurrences in PROMETHEE II Rankings. EMO 2019: 644-654 - Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray:
Optimum Wind Farm Layouts: A Many-Objective Perspective and Case Study. EMO 2019: 707-718 - Azam Asilian Bidgoli, Sedigheh Mahdavi, Shahryar Rahnamayan, Hossein Ebrahimpour-Komleh:
GDE4: The Generalized Differential Evolution with Ordered Mutation. EMO 2019: 101-113 - Azam Asilian Bidgoli, Shahryar Rahnamayan, Hossein Ebrahimpour-Komleh:
Opposition-Based Multi-objective Binary Differential Evolution for Multi-label Feature Selection. EMO 2019: 553-564 - Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas:
A Formal Model for Multi-objective Optimisation of Network Function Virtualisation Placement. EMO 2019: 529-540 - Julian Blank, Kalyanmoy Deb, Proteek Chandan Roy:
Investigating the Normalization Procedure of NSGA-III. EMO 2019: 229-240 - Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Michael Emmerich:
Analysing Optimisation Data for Multicriteria Building Spatial Design. EMO 2019: 671-682 - Marius Bommert, Günter Rudolph:
Reliable Biobjective Solution of Stochastic Problems Using Metamodels. EMO 2019: 581-592 - Jakob Bossek, Christian Grimme, Stephan Meisel, Günter Rudolph, Heike Trautmann:
Bi-objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. EMO 2019: 516-528 - Maxim Buzdalov:
Make Evolutionary Multiobjective Algorithms Scale Better with Advanced Data Structures: Van Emde Boas Tree for Non-dominated Sorting. EMO 2019: 66-77 - Auraham Camacho, Gregorio Toscano Pulido, Ricardo Landa Becerra, Hisao Ishibuchi:
Indicator-Based Weight Adaptation for Solving Many-Objective Optimization Problems. EMO 2019: 216-228 - Oliver Cuate, Oliver Schütze:
Variation Rate: An Alternative to Maintain Diversity in Decision Space for Multi-objective Evolutionary Algorithms. EMO 2019: 203-215 - Oliver Cuate, Lourdes Uribe, Antonin Ponsich, Adriana Lara, Fernanda Beltran, Alberto Rodríguez Sánchez, Oliver Schütze:
A New Hybrid Metaheuristic for Equality Constrained Bi-objective Optimization Problems. EMO 2019: 53-65 - Kalyanmoy Deb, Sunith Bandaru, Haitham Seada:
Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization. EMO 2019: 179-190 - André H. Deutz, Michael Emmerich, Kaifeng Yang:
The Expected R2-Indicator Improvement for Multi-objective Bayesian Optimization. EMO 2019: 359-370 - João A. Duro, Robin C. Purshouse, Shaul Salomon, Daniel C. Oara, Visakan Kadirkamanathan, Peter J. Fleming:
sParEGO - A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems. EMO 2019: 424-438 - Erella Matalon Eisenstadt, Amiram Moshaiov:
Mutual Rationalizability in Vector-Payoff Games. EMO 2019: 593-604 - Carlos A. Escobar, Diana M. Wegner, Abhinav Gaur, Rubén Morales-Menéndez:
Process-Monitoring-for-Quality - A Model Selection Criterion for Genetic Programming. EMO 2019: 151-164 - Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello, Michael Emmerich:
CRI-EMOA: A Pareto-Front Shape Invariant Evolutionary Multi-objective Algorithm. EMO 2019: 307-318 - Wanru Gao, Mojgan Pourhassan, Vahid Roostapour, Frank Neumann:
Runtime Analysis of Evolutionary Multi-objective Algorithms Optimising the Degree and Diameter of Spanning Trees. EMO 2019: 504-515 - Behrooz Ghasemishabankareh, Melih Ozlen, Xiaodong Li:
NSGA-II for Solving Multiobjective Integer Minimum Cost Flow Problem with Probabilistic Tree-Based Representation. EMO 2019: 541-552 - Christian Grimme, Pascal Kerschke, Heike Trautmann:
Multimodality in Multi-objective Optimization - More Boon than Bane? EMO 2019: 126-138 - Dani Irawan, Boris Naujoks:
Comparison of Reference- and Hypervolume-Based MOEA on Solving Many-Objective Optimization Problems. EMO 2019: 266-277 - Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima:
Comparison of Hypervolume, IGD and IGD+ from the Viewpoint of Optimal Distributions of Solutions. EMO 2019: 332-345 - Taishi Ito, Hernán E. Aguirre, Kiyoshi Tanaka, Arnaud Liefooghe, Bilel Derbel, Sébastien Vérel:
Estimating Relevance of Variables for Effective Recombination. EMO 2019: 411-423 - William R. Jensen, Thang Q. Pham, Shanelle N. Foster:
Comparison of Multi-objective Optimization Methods Applied to Electrical Machine Design. EMO 2019: 719-730 - Jing-Yu Ji, Wei-jie Yu, Jun Zhang:
Solving Nonlinear Equation Systems Using Multiobjective Differential Evolution. EMO 2019: 139-150
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