Robin Charles Purshouse

Computational Theory and Mathematics · 2002–2013

A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 44 citations into it; #909 of 12,182 by trust here, #1,269 by citations
• Artificial Intelligence — 41 citations into it; #5,147 of 35,345 by trust here, #9,275 by citations
• Management Science and Operations Research — 5 citations into it; #3,254 of 11,946 by trust here, #4,921 by citations

Whom Robin Charles Purshouse trusts overall

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

1. Kalyanmoy Deb
2. Eckart Zitzler
3. Joshua D. Knowles
4. Marco Laumanns
5. David Wolfe Corne
6. Lothar Thiele
7. David E. Goldberg
8. Carlos Artemio Coello Coello
9. Z. Michalewicz
10. D. V. Veldhuizen

Who trusts Robin Charles Purshouse overall

1. Ye Tian
2. Yaochu Jin
3. Xing-yi Zhang
4. Handing Wang
5. Christian von Lücken
6. Ran Cheng
7. Rui Wang
8. Rui Wang
9. Hisao Ishibuchi
10. Yanan Sun

Papers from Robin Charles Purshouse's perspective

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

1. Multi-objective optimization using evolutionary algorithms
2. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
3. Simulated Binary Crossover for Continuous Search Space
4. Indicator-Based Selection in Multiobjective Search (Parallel Problem Solving from Nature)
5. On metrics for comparing nondominated sets (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
6. Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
7. Genetic Algorithms in Search
8. Genetic Algorithms in Search Optimization and Machine Learning
9. SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
10. Combining Convergence and Diversity in Evolutionary Multiobjective Optimization (Evolutionary Computation)

Their papers

• On the Evolutionary Optimization of Many Conflicting Objectives (2007) — 467 citations
• Many-Objective Optimization: An Engineering Design Perspective (2005) — 407 citations
• Preference-Inspired Coevolutionary Algorithms for Many-Objective Optimization (2013) — 402 citations
• Evolutionary algorithms in control systems engineering: a survey (2002) — 663 citations