Fuzzy self-tuning differential evolution for optimal product line design
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Publication:2024008
DOI10.1016/j.ejor.2020.05.018zbMath1487.90423OpenAlexW3028061200MaRDI QIDQ2024008
Andreas Andronikidis, Stelios Tsafarakis, Efthymios Altsitsiadis, Konstantinos Zervoudakis
Publication date: 3 May 2021
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2020.05.018
Approximation methods and heuristics in mathematical programming (90C59) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Marketing, advertising (90B60)
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Cites Work
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- A differential evolution algorithm with self-adaptive strategy and control parameters based on symmetric Latin hypercube design for unconstrained optimization problems
- Redesigning product lines in a period of economic crisis: a hybrid simulated annealing algorithm with crossover
- Differential evolution. A practical approach to global optimization. With CD-ROM.
- A self-adaptive differential evolution heuristic for two-stage assembly scheduling problem to minimize maximum lateness with setup times
- Optimal product design using conjoint analysis: Computational complexity and algorithms
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Auto-selection mechanism of differential evolution algorithm variants and its application
- Optimal product design using a colony of virtual ants
- Simultaneous conjoint measurement: A new type of fundamental measurement
- Conjoint Optimization: An Exact Branch-and-Bound Algorithm for the Share-of-Choice Problem
- Optimizing Product Line Designs: Efficient Methods and Comparisons
- Smallest Position Value Approach
- Near Optimal Solutions for Product Line Design and Selection: Beam Search Heuristics
- A genetic algorithm approach to the product line design problem using the seller's return criterion: An extensive comparative computational study
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