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ORCIDHisao Ishibuchi
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- affiliation: Southern University of Science and Technology, Shenzhen, China
- affiliation: Osaka Prefecture University, Japan
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2020 – today
- 2020
[j131]Yang Nan
, Ke Shang, Hisao Ishibuchi, Linjun He:
Reverse Strategy for Non-Dominated Archiving. IEEE Access 8: 119458-119469 (2020)- [j130]Lie Meng Pang, Kai Meng Tay, Chee Peng Lim, Hisao Ishibuchi:
A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology. IEEE Access 8: 144908-144930 (2020) - [j129]Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks. IEEE Access 8: 163197-163208 (2020) - [j128]Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems. IEEE Access 8: 190240-190250 (2020) - [j127]Ryoji Tanabe, Hisao Ishibuchi:
An easy-to-use real-world multi-objective optimization problem suite. Appl. Soft Comput. 89: 106078 (2020) - [j126]Linjun He, Ke Shang, Hisao Ishibuchi:
Simultaneous use of two normalization methods in decomposition-based multi-objective evolutionary algorithms. Appl. Soft Comput. 92: 106316 (2020) - [j125]Jian Xiong, Chao Zhang, Gang Kou, Rui Wang, Hisao Ishibuchi, Fawaz E. Alsaadi:
Optimizing Long-Term Bank Financial Products Portfolio Problems with a Multiobjective Evolutionary Approach. Complex. 2020: 3106097:1-3106097:18 (2020) - [j124]Bach Hoai Nguyen, Bing Xue, Peter Andreae, Hisao Ishibuchi, Mengjie Zhang:
Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms. IEEE Trans. Evol. Comput. 24(1): 170-184 (2020) - [j123]Ke Shang, Hisao Ishibuchi, Xizi Ni:
R2-Based Hypervolume Contribution Approximation. IEEE Trans. Evol. Comput. 24(1): 185-192 (2020) - [j122]Ryoji Tanabe, Hisao Ishibuchi:
A Review of Evolutionary Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. 24(1): 193-200 (2020) - [j121]Yiping Liu, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima:
Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts. IEEE Trans. Evol. Comput. 24(3): 439-453 (2020) - [j120]Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama:
Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. 24(3): 551-565 (2020) - [j119]Ryoji Tanabe, Hisao Ishibuchi:
A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary Algorithms. IEEE Trans. Evol. Comput. 24(4): 720-734 (2020) - [j118]Ke Shang, Hisao Ishibuchi, Xizi Ni:
Erratum to "R2-Based Hypervolume Contribution Approximation". IEEE Trans. Evol. Comput. 24(4): 807 (2020) - [j117]Ke Shang, Hisao Ishibuchi:
A New Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 24(5): 839-852 (2020) - [j116]Ryoji Tanabe, Hisao Ishibuchi:
An Analysis of Quality Indicators Using Approximated Optimal Distributions in a 3-D Objective Space. IEEE Trans. Evol. Comput. 24(5): 853-867 (2020) - [j115]Suhang Gu, Yusuke Nojima, Hisao Ishibuchi, Shitong Wang:
A Novel Classification Method From the Perspective of Fuzzy Social Networks Based on Physical and Implicit Style Features of Data. IEEE Trans. Fuzzy Syst. 28(2): 361-375 (2020) - [c300]Yuna Yamada, Naoki Masuyama, Narito Amako, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Divisive Hierarchical Clustering Based on Adaptive Resonance Theory. CcS 2020: 1-6 - [c299]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Modified Distance-based Subset Selection for Evolutionary Multi-objective Optimization Algorithms. CEC 2020: 1-8 - [c298]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets. CEC 2020: 1-8 - [c297]Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello:
Riesz s-energy-based Reference Sets for Multi-Objective optimization. CEC 2020: 1-8 - [c296]Ryuichi Hashimoto, Toshiki Urita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Effects of Local Mating in Inter-task Crossover on the Performance of Decomposition-based Evolutionary Multiobjective Multitask optimization Algorithms. CEC 2020: 1-8 - [c295]Linjun He, Hisao Ishibuchi, Anupam Trivedi, Dipti Srinivasan:
Dynamic Normalization in MOEA/D for Multiobjective optimization. CEC 2020: 1-8 - [c294]Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama, Yuyan Han:
On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization. CEC 2020: 1-8 - [c293]Yiming Peng, Hisao Ishibuchi:
A Decomposition-based Large-scale Multi-modal Multi-objective optimization Algorithm. CEC 2020: 1-8 - [c292]Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive. ECAI 2020: 283-290 - [c291]Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima:
Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms. ECAI 2020: 291-298 - [c290]Yuichi Omozaki, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Multiobjective Fuzzy Genetics-Based Machine Learning for Multi-Label Classification. FUZZ-IEEE 2020: 1-8 - [c289]Hisao Ishibuchi, Hiroyuki Sato:
Evolutionary many-objective optimization. GECCO Companion 2020: 428-457 - [c288]Linjun He, Auraham Camacho, Hisao Ishibuchi:
Another difficulty of inverted triangular pareto fronts for decomposition-based multi-objective algorithms. GECCO 2020: 498-506 - [c287]Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima:
Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms. GECCO 2020: 507-515 - [c286]Yang Nan, Ke Shang, Hisao Ishibuchi:
What is a good direction vector set for the R2-based hypervolume contribution approximation. GECCO 2020: 524-532 - [c285]Narito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi:
Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments. IJCNN 2020: 1-8 - [c284]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Proposal of a Realistic Many-Objective Test Suite. PPSN (1) 2020: 201-214 - [c283]Ke Shang, Hisao Ishibuchi, Weiyu Chen, Lukás Adam:
Hypervolume Optimal μ-Distributions on Line-Based Pareto Fronts in Three Dimensions. PPSN (2) 2020: 257-270 - [i18]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multiobjective Optimization Algorithms. CoRR abs/2003.09917 (2020) - [i17]Yiming Peng, Hisao Ishibuchi:
A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm. CoRR abs/2004.09838 (2020) - [i16]Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization. CoRR abs/2006.08156 (2020) - [i15]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets. CoRR abs/2007.02050 (2020) - [i14]Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Algorithm Configurations of MOEA/D with an Unbounded External Archive. CoRR abs/2007.13352 (2020) - [i13]Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Decomposition-Based Multi-Objective Evolutionary Algorithm Design under Two Algorithm Frameworks. CoRR abs/2008.07094 (2020) - [i12]Ryoji Tanabe, Hisao Ishibuchi:
An Analysis of Quality Indicators Using Approximated Optimal Distributions in a Three-dimensional Objective Space. CoRR abs/2009.12788 (2020) - [i11]Ryoji Tanabe, Hisao Ishibuchi:
An Easy-to-use Real-world Multi-objective Optimization Problem Suite. CoRR abs/2009.12867 (2020) - [i10]Ryoji Tanabe, Hisao Ishibuchi:
A Review of Evolutionary Multi-modal Multi-objective Optimization. CoRR abs/2009.13347 (2020) - [i9]Ryoji Tanabe, Hisao Ishibuchi:
A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms. CoRR abs/2009.14700 (2020) - [i8]Ryoji Tanabe, Hisao Ishibuchi:
Non-elitist Evolutionary Multi-objective Optimizers Revisited. CoRR abs/2009.14717 (2020) - [i7]Ryoji Tanabe, Hisao Ishibuchi:
A Niching Indicator-Based Multi-modal Many-objective Optimizer. CoRR abs/2010.00236 (2020) - [i6]Ryoji Tanabe, Hisao Ishibuchi:
Review and Analysis of Three Components of Differential Evolution Mutation Operator in MOEA/D-DE. CoRR abs/2010.00265 (2020) - [i5]Ryoji Tanabe, Hisao Ishibuchi:
An Analysis of Control Parameters of MOEA/D Under Two Different Optimization Scenarios. CoRR abs/2010.00818 (2020)
2010 – 2019
- 2019
- [j114]Muhammad Atif, Siddique Latif, Rizwan Ahmad, Adnan Khalid Kiani, Junaid Qadir, Adeel Baig, Hisao Ishibuchi, Waseem Abbas:
Soft Computing Techniques for Dependable Cyber-Physical Systems. IEEE Access 7: 72030-72049 (2019) - [j113]Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota, Yusuke Nojima, Yiping Liu:
Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning. IEEE Access 7: 76920-76936 (2019) - [j112]Hisao Ishibuchi:
Prof. Lotfi A. Zadeh [Editor's Remarks]. IEEE Comput. Intell. Mag. 14(1): 2 (2019) - [j111]Hisao Ishibuchi:
Cashless Society [Editor's Remarks]. IEEE Comput. Intell. Mag. 14(2): 2 (2019) - [j110]Hisao Ishibuchi:
AI and CI [Editor's Remarks]. IEEE Comput. Intell. Mag. 14(3): 2 (2019) - [j109]Hisao Ishibuchi:
Last Editor's Remarks [Editor's Remarks]. IEEE Comput. Intell. Mag. 14(4): 2 (2019) - [j108]Ryoji Tanabe, Hisao Ishibuchi:
Review and analysis of three components of the differential evolution mutation operator in MOEA/D-DE. Soft Comput. 23(23): 12843-12857 (2019) - [j107]Ryoji Tanabe, Hisao Ishibuchi:
A niching indicator-based multi-modal many-objective optimizer. Swarm Evol. Comput. 49: 134-146 (2019) - [j106]Zhenkun Wang, Yew-Soon Ong, Hisao Ishibuchi:
On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries. IEEE Trans. Evol. Comput. 23(2): 217-231 (2019) - [j105]Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi, Xin Yao:
A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(3): 525-537 (2019) - [j104]Zekang Bian, Hisao Ishibuchi, Shitong Wang:
Joint Learning of Spectral Clustering Structure and Fuzzy Similarity Matrix of Data. IEEE Trans. Fuzzy Syst. 27(1): 31-44 (2019) - [c282]Hisao Ishibuchi, Yiming Peng, Ke Shang:
A Scalable Multimodal Multiobjective Test Problem. CEC 2019: 310-317 - [c281]Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Yuyan Han:
Searching for Local Pareto Optimal Solutions: A Case Study on Polygon-Based Problems. CEC 2019: 896-903 - [c280]Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi:
A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. CEC 2019: 2018-2025 - [c279]Hisao Ishibuchi, Linjun He, Ke Shang:
Regular Pareto Front Shape is not Realistic. CEC 2019: 2034-2041 - [c278]Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
A Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions. CEC 2019: 2058-2065 - [c277]Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima:
Two-Layered Weight Vector Specification in Decomposition-Based Multi-Objective Algorithms for Many-Objective Optimization Problems. CEC 2019: 2434-2441 - [c276]Auraham Camacho, Gregorio Toscano Pulido, Ricardo Landa Becerra, Hisao Ishibuchi:
Indicator-Based Weight Adaptation for Solving Many-Objective Optimization Problems. EMO 2019: 216-228 - [c275]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 - [c274]Yusuke Nojima, Takafumi Fukase, Yiping Liu, Naoki Masuyama, Hisao Ishibuchi:
Constrained multiobjective distance minimization problems. GECCO 2019: 586-594 - [c273]Ryoji Tanabe, Hisao Ishibuchi:
Non-elitist evolutionary multi-objective optimizers revisited. GECCO 2019: 612-619 - [c272]Hisao Ishibuchi, Hiroyuki Sato:
Evolutionary many-objective optimization. GECCO (Companion) 2019: 614-661 - [c271]Weiyu Chen, Hisao Ishibuchi, Ke Shang:
Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multi-objective Optimization Algorithms. SSCI 2019: 1826-1833 - [c270]Linjun lie, Yang Nan, Ke Shang, Hisao Ishibuchi:
A Study of the Naïve Objective Space Normalization Method in MOEA/D. SSCI 2019: 1834-1840 - [c269]Weiduo Liao, Ke Shang, Lie Meng Pang, Hisao Ishibuchi:
Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA. SSCI 2019: 1841-1848 - [c268]Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima:
Optimal Distributions of Solutions for Hypervolume Maximization on Triangular and Inverted Triangular Pareto Fronts of Four-Objective Problems. SSCI 2019: 1857-1864 - [c267]Yiming Peng, Hisao Ishibuchi, Ke Shang:
Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies. SSCI 2019: 1865-1872 - [c266]Mengjun Ming, Rui Wang, Tao Zhang, Hisao Ishibuchi:
A dual-grid dual-phase strategy for constrained multi-objective optimization. SSCI 2019: 1881-1888 - [c265]Lie Meng Pang, Hisao Ishibuchi, Ke Shang:
Offline Automatic Parameter Tuning of MOEA/D Using Genetic Algorithm. SSCI 2019: 1889-1897 - [c264]Naoki Masuyama, Narito Amako, Yusuke Nojima, Yiping Liu, Chu Kiong Loo, Hisao Ishibuchi:
Fast Topological Adaptive Resonance Theory Based on Correntropy Induced Metric. SSCI 2019: 2215-2221 - [c263]Ryuichi Hashimoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Effect of Solution Information Sharing between Tasks on the Search Ability of Evolutionary Multiobjective Multitasking Algorithms. SSCI 2019: 2671-2678 - 2018
- [j103]Kaiwen Li, Rui Wang, Tao Zhang, Hisao Ishibuchi:
Evolutionary Many-Objective Optimization: A Comparative Study of the State-of-the-Art. IEEE Access 6: 26194-26214 (2018) - [j102]Bin Xin, Lu Chen, Jie Chen, Hisao Ishibuchi, Kaoru Hirota, Bo Liu:
Interactive Multiobjective Optimization: A Review of the State-of-the-Art. IEEE Access 6: 41256-41279 (2018) - [j101]Ryoji Tanabe, Hisao Ishibuchi:
An analysis of control parameters of MOEA/D under two different optimization scenarios. Appl. Soft Comput. 70: 22-40 (2018) - [j100]Hisao Ishibuchi:
Father of Fuzzy Logic [Editor's Remarks]. IEEE Comput. Intell. Mag. 13(1): 2 (2018) - [j99]Hisao Ishibuchi:
IEEE CIM Survey Results [Editor's Remarks]. IEEE Comput. Intell. Mag. 13(2): 2 (2018) - [j98]Hisao Ishibuchi:
One Year in China [Editor's Remarks]. IEEE Comput. Intell. Mag. 13(3): 2 (2018) - [j97]Hisao Ishibuchi:
CIS Sponsored Conferences in 2019 [Editor's Remarks]. IEEE Comput. Intell. Mag. 13(4): 2 (2018) - [j96]Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima:
How to Specify a Reference Point in Hypervolume Calculation for Fair Performance Comparison. Evol. Comput. 26(3) (2018) - [j95]Rui Wang, Shiming Lai, Guohua Wu, Lining Xing, Ling Wang, Hisao Ishibuchi:
Multi-clustering via evolutionary multi-objective optimization. Inf. Sci. 450: 128-140 (2018) - [j94]Yaochu Jin, Kaisa Miettinen, Hisao Ishibuchi:
Guest Editorial Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 1-2 (2018) - [j93]Rui Wang, Zhongbao Zhou, Hisao Ishibuchi, Tianjun Liao, Tao Zhang:
Localized Weighted Sum Method for Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 3-18 (2018) - [j92]Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima:
A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation. IEEE Trans. Evol. Comput. 22(2): 260-275 (2018) - [j91]Manuel Chica, Raymond Chiong, Michael Kirley, Hisao Ishibuchi:
A Networked N-Player Trust Game and Its Evolutionary Dynamics. IEEE Trans. Evol. Comput. 22(6): 866-878 (2018) - [j90]Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima:
Reference Point Specification in Inverted Generational Distance for Triangular Linear Pareto Front. IEEE Trans. Evol. Comput. 22(6): 961-975 (2018) - [j89]Yuanpeng Zhang, Hisao Ishibuchi, Shitong Wang:
Deep Takagi-Sugeno-Kang Fuzzy Classifier With Shared Linguistic Fuzzy Rules. IEEE Trans. Fuzzy Syst. 26(3): 1535-1549 (2018) - [j88]Ta Zhou, Hisao Ishibuchi, Shitong Wang:
Stacked Blockwise Combination of Interpretable TSK Fuzzy Classifiers by Negative Correlation Learning. IEEE Trans. Fuzzy Syst. 26(6): 3327-3341 (2018) - [c262]Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima:
Dynamic Specification of a Reference Point for Hypervolume Calculation in SMS-EMOA. CEC 2018: 1-8 - [c261]Hisao Ishibuchi, Takefumi Fukase, Naoki Masuyama, Yusuke Nojima:
Dual-grid model of MOEA/D for evolutionary constrained multiobjective optimization. GECCO 2018: 665-672 - [c260]Ke Shang, Hisao Ishibuchi, Min-Ling Zhang, Yiping Liu:
A new R2 indicator for better hypervolume approximation. GECCO 2018: 745-752 - [c259]Ryuichi Hashimoto, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima:
Analysis of evolutionary multi-tasking as an island model. GECCO (Companion) 2018: 1894-1897 - [c258]Chenxu Hu, Hisao Ishibuchi:
Incorporation of a decision space diversity maintenance mechanism into MOEA/D for multi-modal multi-objective optimization. GECCO (Companion) 2018: 1898-1901 - [c257]Xizi Ni, Hisao Ishibuchi, Kanzhen Wan, Ke Shang, Chukun Zhuang:
Weight vector grid with new archive update mechanism for multi-objective optimization. GECCO (Companion) 2018: 1906-1909 - [c256]Ryoji Tanabe, Hisao Ishibuchi:
A Decomposition-Based Evolutionary Algorithm for Multi-modal Multi-objective Optimization. PPSN (1) 2018: 249-261 - [c255]Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang:
A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems. PPSN (1) 2018: 262-273 - [c254]Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang:
Improving 1by1EA to Handle Various Shapes of Pareto Fronts. PPSN (1) 2018: 311-322 - [c253]Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima:
Use of Two Reference Points in Hypervolume-Based Evolutionary Multiobjective Optimization Algorithms. PPSN (1) 2018: 384-396 - [c252]Naoki Masuyama, Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi:
Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization. SMC 2018: 745-750 - [c251]Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
Performance Comparison of Multiobjective Evolutionary Algorithms on Problems with Partially Different Properties from Popular Test Suites. SMC 2018: 769-774 - [c250]Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Yusuke Nojima, Yiping Lin:
Topological Kernel Bayesian ARTMAP. WAC 2018: 1-5 - [i4]Muhammad Atif, Siddique Latif, Rizwan Ahmad, Adnan Khalid Kiani, Junaid Qadir, Adeel Baig, Hisao Ishibuchi, Waseem Abbas:
Soft Computing Techniques for Dependable Cyber-Physical Systems. CoRR abs/1801.10472 (2018) - 2017
- [j87]Ryoji Tanabe, Hisao Ishibuchi, Akira Oyama:
Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios. IEEE Access 5: 19597-19619 (2017) - [j86]Rui Wang, Jian Xiong, Hisao Ishibuchi, Guohua Wu, Tao Zhang:
On the effect of reference point in MOEA/D for multi-objective optimization. Appl. Soft Comput. 58: 25-34 (2017) - [j85]Hisao Ishibuchi:
New Journal, New Editor-in-Chief and New VP for Publications [Editor's Remarks]. IEEE Comput. Intell. Mag. 12(1): 2 (2017) - [j84]Hisao Ishibuchi:
Smart World [Editor's Remarks]. IEEE Comput. Intell. Mag. 12(2): 2 (2017) - [j83]Hisao Ishibuchi:
After 30 Years of Work in Osaka [Editor's Remarks]. IEEE Comput. Intell. Mag. 12(3): 2 (2017) - [j82]Hisao Ishibuchi:
End of Second Term as Editor-in-Chief [Editor's Remarks]. IEEE Comput. Intell. Mag. 12(4): 3 (2017) - [j81]Zhenkun Wang, Qingfu Zhang, Hui Li, Hisao Ishibuchi, Licheng Jiao:
On the use of two reference points in decomposition based multiobjective evolutionary algorithms. Swarm Evol. Comput. 34: 89-102 (2017) - [j80]Hisao Ishibuchi, Yu Setoguchi, Hiroyuki Masuda, Yusuke Nojima:
Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes. IEEE Trans. Evol. Comput. 21(2): 169-190 (2017) - [j79]Ta Zhou, Hisao Ishibuchi, Shitong Wang:
Stacked-Structure-Based Hierarchical Takagi-Sugeno-Kang Fuzzy Classification Through Feature Augmentation. IEEE Trans. Emerg. Top. Comput. Intell. 1(6): 421-436 (2017) - [j78]Antoaneta Serguieva, Hisao Ishibuchi, Ronald R. Yager, Vasile Palade:
Guest Editorial Special Issue on Fuzzy Techniques in Financial Modeling and Simulation. IEEE Trans. Fuzzy Syst. 25(2): 245-248 (2017) - [j77]Xiaoqing Gu, Fu-Lai Chung, Hisao Ishibuchi, Shitong Wang:
Imbalanced TSK Fuzzy Classifier by Cross-Class Bayesian Fuzzy Clustering and Imbalance Learning. IEEE Trans. Syst. Man Cybern. Syst. 47(8): 2005-2020 (2017) - [c249]Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima:
Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems. FOGA 2017: 95-110 - [c248]Yusuke Nojima, Koki Arahari, Shuji Takemura, Hisao Ishibuchi:
Multiobjective fuzzy genetics-based machine learning based on MOEA/D with its modifications. FUZZ-IEEE 2017: 1-6 - [c247]