Hisao Ishibuchi

Computational Theory and Mathematics · 2000–2020

A researcher in the Science corpus: 13 papers; trusts 83 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 142 citations into it; #565 of 12,182 by trust here, #822 by citations
• Artificial Intelligence — 139 citations into it; #3,148 of 35,345 by trust here, #6,064 by citations
• Management Science and Operations Research — 35 citations into it
• Statistics and Probability — 17 citations into it
• Evaluation & Benchmarks — 10 citations into it
• Industrial and Manufacturing Engineering — 8 citations into it; #488 of 2,521 by trust here, #1,009 by citations
• Civil and Structural Engineering — 5 citations into it

Whom Hisao Ishibuchi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kalyanmoy Deb
2. Eckart Zitzler
3. Joshua D. Knowles
4. Yaochu Jin
5. Carlos Artemio Coello Coello
6. Lothar Thiele
7. Qingfu Zhang
8. Tomoharu Nakashima
9. Rakesh Agrawal
10. Andrzej Jaszkiewicz

Who trusts Hisao Ishibuchi overall

1. Alberto Fernández
2. Francisco Herrera
3. Ran Cheng
4. Yusuke Nojima
5. Yaochu Jin
6. Kalyanmoy Deb
7. Oscar Cordón
8. Ye Tian
9. María José Gacto
10. Rafael Alcalá

Papers from Hisao Ishibuchi's perspective

Ordered by how strongly the researchers Hisao Ishibuchi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Multi-objective optimization using evolutionary algorithms
2. A fast and elitist multiobjective genetic algorithm: NSGA-II
3. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
4. Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
5. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
6. Simulated Binary Crossover for Continuous Search Space
7. Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
8. Scalable Test Problems for Evolutionary Multiobjective Optimization (Evolutionary Multiobjective Optimization)
9. A review of multiobjective test problems and a scalable test problem toolkit (IEEE Transactions on Evolutionary Computation)
10. Scalable multi-objective optimization test problems (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))

Their papers

• Evolutionary many-objective optimization: A short review (2008) — 996 citations
• Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling (2003) — 793 citations
• A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation (2018) — 307 citations
• An easy-to-use real-world multi-objective optimization problem suite (2020) — 329 citations
• Modified Distance Calculation in Generational Distance and Inverted Generational Distance (2015) — 615 citations
• Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes (2017) — 503 citations
• Effect of rule weights in fuzzy rule-based classification systems (2000) — 501 citations
• Rule weight specification in fuzzy rule-based classification systems (2005) — 499 citations
• Localized Weighted Sum Method for Many-Objective Optimization (2018) — 310 citations
• Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning (2007) — 401 citations
• Classification and modeling with linguistic information granules - advanced approaches to linguistic data mining (2004) — 439 citations
• Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining (2004) — 426 citations
• Three-objective genetics-based machine learning for linguistic rule extraction (2001) — 324 citations