Survey of multi-objective optimization methods for engineering.¶
Marler, R. T., & Arora, J. S. (2004). Survey of multi-objective optimization methods for engineering. Structural and Multidisciplinary Optimization, 26(6), 369-395.
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1 citation across 1 artifact.
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Primes¶
- Multiobjective Optimization
- In operations research applications, MOO supports supply-chain design (cost vs service level vs risk), production scheduling (throughput vs setup cost vs due-date adherence), and routing (cost vs time vs fuel consumption), with Marler and Arora (2004) surveying the engineering-design landscape across these and adjacent applications.
This sourceComprehensive engineering-focused survey of MOO methods, scalarization techniques, and application domains across structural and multidisciplinary design.
- In operations research applications, MOO supports supply-chain design (cost vs service level vs risk), production scheduling (throughput vs setup cost vs due-date adherence), and routing (cost vs time vs fuel consumption), with Marler and Arora (2004) surveying the engineering-design landscape across these and adjacent applications.
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