Recent trends indicate rapid growth of nature-inspired optimization in academia and industry

DOI10.1007/s00607-011-0154-zzbMath1293.90086OpenAlexW2012186479MaRDI QIDQ652554

James M. Whitacre

Publication date: 14 December 2011

Published in: Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00607-011-0154-z

zbMATH Keywords

optimizationdecision theorymathematical programmingevolutionary algorithmsoperations researchnature-inspired meta-heuristics

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming (90-02)

Related Items (8)

Huber-type principal expectile component analysis ⋮ An algorithm based on semidefinite programming for finding minimax optimal designs ⋮ Construction of optimal designs for quantile regression model via particle swarm optimization ⋮ Survival of the flexible: explaining the recent popularity of nature-inspired optimization within a rapidly evolving world ⋮ A social intelligent system for multi-objective optimization of classification rules using cultural algorithms ⋮ Stability bounds and almost sure convergence of improved particle swarm optimization methods ⋮ \(G\)-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm ⋮ Minimax optimal designs via particle swarm optimization methods

Cites Work

• Survival of the flexible: explaining the recent popularity of nature-inspired optimization within a rapidly evolving world
• Experimental investigation of heuristics for resource-constrained project scheduling: an update
• Solving a concrete sleepers production scheduling by genetic algorithms
• Memetic Algorithms in Planning, Scheduling, and Timetabling
• Emergence of Scaling in Random Networks
• A genetic scheduling methodology for virtual cellular manufacturing systems: an industrial application

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