Chemical-Reaction-Inspired Metaheuristic for Optimization

By Albert Y. S. Lam, Victor O. K. Li. IEEE Transactions on Evolutionary Computation, 2010

567 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/2ba5927b4248d89e788cd3fb974d156bc4188491

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Computational Theory and Mathematics

In Management Science and Operations Research

Citations in the corpus

Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm (2024, background): “Magnetic Optimization Algorithm (MOA) 94 , Chemical Reaction Optimization (CRO) 95 , Atom Search Optimization (ASO) 96 , Henry Gas Solubility Optimization (HGSO) 97 , Nuclear Reaction Optimization (NRO) 98 , Chernobyl Disaster Optimizer (CDO) 99 , Thermal Exchange Optimization (TEO) 100 , Turbulent ”
A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues (2014, background): “The entry subtask Tentry is the starting subtask of the application without any predecessor, while the exit subtask Texit is the final subtask with no successor [43].”
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm (2015, methodology): “We solved this problem by the MFO algorithm and compare it to GSA, GA [61] [62, 63], CPSO [64], HS [65], Richardson’s random method, Simplex method, Davidon-Fletcher-Powell, and Griffith and Stewart’s successive linear approximation [66].”
A social spider algorithm for global optimization (2015, background): “Though existing meta-heuristics have great success in solving many optimization problems, it is always worthwhile to develop new searching methodologies with superior performance in particular classes of problems [49].”
Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions (2013, unknown): “Due to space limitation, we do not illustrate every detail of CRO but explain the necessary modifications based on the framework described in [24].”