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Interactive Evolutionary Computation with Evaluation Characteristics of Multi-IEC Users

https://doi.org/10.1109/icsmc.2006.384657
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-32391-0_72openalex-snapshot
Evaluation of User Fatigue Reduction Through IEC Rating-Scale Mapping
inferredcites →https://doi.org/10.1109/5.949485openalex-snapshot
Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation
inferredcites →https://doi.org/10.1109/fuzzy.1999.790111openalex-snapshot
Accelerating a GA convergence by fitting a single-peak function
inferredcites →https://doi.org/10.1109/fuzzy.1999.793088openalex-snapshot
Sparse fitness evaluation for reducing user burden in interactive genetic algorithm
inferredcites →https://doi.org/10.1109/icmlc.2005.1527946openalex-snapshot
Reduced human fatigue interactive evolutionary computation for micromachine design
inferredcites →https://doi.org/10.1109/kes.1997.616927openalex-snapshot
3-D CG lighting with an interactive GA
inferredcites →https://doi.org/10.1109/kes.1999.820178openalex-snapshot
On-line knowledge embedding for an interactive EC-based montage system
inferredcites →https://doi.org/10.1887/0750308958/b386c114openalex-snapshot
Tracking a criminal suspect through face space with a genetic algorithm
inferredcites →https://doi.org/10.2114/jpa.24.81openalex-snapshot
Improving the Performance of Predicting Users' Subjective Evaluation Characteristics to Reduce Their Fatigue in IEC
inferredcites →https://doi.org/10.3156/jsoft.15.219openalex-snapshot
Large Accelerating a GA Convergence by Fitting a Single-Peak Function
inferredcites →https://doi.org/10.3233/ifs-1998-059openalex-snapshot
An input method using discrete fitness values for interactive GA

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-642-03633-0_4openalex-snapshot
New IEC Research and Frameworks
inferred← citeshttps://doi.org/10.1007/s12652-018-0861-9openalex-snapshot
Research progress survey on interactive evolutionary computation
inferred← citeshttps://doi.org/10.1016/j.cad.2008.10.010openalex-snapshot
An interactive co-evolutionary CAD system for garment pattern design
inferred← citeshttps://doi.org/10.1109/cec.2009.4983243openalex-snapshot
Influence of fitness quantization noise on the performance of interactive PSO
inferred← citeshttps://doi.org/10.1109/cec.2015.7257155openalex-snapshot
Interactive differential evolution using time information required for user's selection: In a case of optimizing fragrance composition
inferred← citeshttps://doi.org/10.1109/icawst.2018.8517250openalex-snapshot
Evolutionary Problem Solving by People Being Aware of Others’ Preferences
inferred← citeshttps://doi.org/10.1109/iccit.2009.280openalex-snapshot
A Mobile Tourism Application Model Based on Collective Interactive Genetic Algorithms
inferred← citeshttps://doi.org/10.1109/indcomp.2014.7011742openalex-snapshot
Signboard design system through social voting technique
inferred← citeshttps://doi.org/10.1109/scis-isis.2014.7044784openalex-snapshot
Evaluation of hybrid optimization with EMO and IEC for architectural floor planning
inferred← citeshttps://doi.org/10.1527/tjsai.24.25openalex-snapshot
Architectural Room Planning Support System using Methods of Generating Spatial Layout Plans and Evolutionary Multi-objective Optimization
inferred← citeshttps://doi.org/10.20965/jaciii.2012.p0453openalex-snapshot
Tournament Evaluation System Applying Win-Lose Result Presumption Considering Kansei Evaluation by Multiple People
inferred← citeshttps://doi.org/10.3156/jsoft.23.38openalex-snapshot
Interactive Genetic Algorithm with Tournament Evaluation Applying Paired Preference Test by Multiple PeopIe
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