Bianchi L, Dorigo M, Gambardella LM, Gutjahr WJ (2009) A survey on metaheuristics for stochastic combinatorial optimization. Nat Comput Int J 8(2):239–287 MathSciNetLeonora, B.; Marco, D.; Luca, G.; Walter, G.: A survey on metaheuristics for stochastic combinatorial optimization. Nat....
optimizer54, unconstrained and constrained optimization by hybrid pathfinder optimizer55, improved charged system search for optimization of fuzzy controllers56, optimum design of structural systems with metaheuristics57,58 are some of the most recent research works in the area of applied artificial ...
Ant colony optimization: Introduction and recent trends 2005, Physics of Life Reviews Show abstract Ant colony optimization theory: A survey 2005, Theoretical Computer Science Show abstract Ant algorithms and stigmergy 2000, Future Generation Computer Systems Show abstract A survey on metaheuristics for ...
Of the more recent surveys, Fu (1994) provides an excellent tutorial on simulation optimization, and focuses on continuous optimization problems more than discrete optimization problems. The paper focuses specifically on discrete-event simulations. Fu (2002) provides a comprehensive survey of the field ...
A survey on metaheuristics for stochastic combinatorial optimization Nat. Comput., 8 (2) (2009), pp. 239-287 Google Scholar Bisht and Singh, 2015 N. Bisht, S. Singh Analytical study of different network topologies Int. Res. J. Eng. Technol., 2 (1) (2015), pp. 88-90 Google Scholar...
The development of metaheuristics for solving such problems has attracted the attention of many researchers and is increasingly popular. However, to our knowledge there is no well established taxonomy and comprehensive survey for handling this important family of optimization problems. This paper presents...
et al. On the role of metaheuristic optimization in bioinformatics. Int. Trans. Oper. Res. https://doi.org/10.1111/itor.13164 (2022). Article Google Scholar Shukla, A. K. et al. A study on metaheuristics approaches for gene selection in microarray data: Algorithms, applications and open...
Asset allocation and portfolio optimization problems with metaheuristics: a literature survey The main objective of Markowitz work is seeking optimal allocation of wealth on a defined number of assets while minimizing risk and maximizing returns of ... B Jarraya - University Library of Munich, Germany...
“black box” that why certain metaheuristics perform better on specific optimization problems and not as good on others. The performance related analyses performed on algorithms are mostly quantitative via performance validation metrics like mean error, standard deviation, and co-relations have been ...
A complete survey on the use of metaheuristics to solve a wide class of stochastic COPs can be found in [4], where the authors have classified the reviewed methods into two main categories based on the way the objective function is estimated: (i) ad hoc approximation and (ii) simulation....