Related references
Note: Only part of the references are listed.An enhanced pathfinder algorithm for engineering optimization problems
Chengmei Tang et al.
ENGINEERING WITH COMPUTERS (2022)
I-GWO and Ex-GWO: improved algorithms of the Grey Wolf Optimizer to solve global optimization problems
Amir Seyyedabbasi et al.
ENGINEERING WITH COMPUTERS (2021)
Hybrid metaheuristic algorithm using butterfly and flower pollination base on mutualism mechanism for global optimization problems
Zhongmin Wang et al.
ENGINEERING WITH COMPUTERS (2021)
Wind driven dragonfly algorithm for global optimization
Lianlian Zhong et al.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2021)
Teaching-learning-based pathfinder algorithm for function and engineering optimization problems
Chengmei Tang et al.
APPLIED INTELLIGENCE (2021)
Social Network Search for Solving Engineering Optimization Problems
Hadi Bayzidi et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2021)
Optimal characterization of a microwave transistor using grey wolf algorithms
Farzad Kiani et al.
ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING (2021)
Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems
Amir Seyyedabbasi et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Improving the performance of hierarchical wireless sensor networks using the metaheuristic algorithms: efficient cluster head selection
Farzad Kiani et al.
SENSOR REVIEW (2021)
Butterfly optimization algorithm: a novel approach for global optimization
Sankalap Arora et al.
SOFT COMPUTING (2019)
Harris hawks optimization: Algorithm and applications
Ali Asghar Heidari et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2017)
Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems
Seyedali Mirjalili
NEURAL COMPUTING & APPLICATIONS (2016)
The Whale Optimization Algorithm
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2016)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems
Amir Hossein Gandomi et al.
ENGINEERING WITH COMPUTERS (2013)
Black hole: A new heuristic optimization approach for data clustering
Abdolreza Hatamlou
INFORMATION SCIENCES (2013)
A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example
Wen-Tsao Pan
KNOWLEDGE-BASED SYSTEMS (2012)
A novel heuristic optimization method: charged system search
A. Kaveh et al.
ACTA MECHANICA (2010)
GSA: A Gravitational Search Algorithm
Esmat Rashedi et al.
INFORMATION SCIENCES (2009)
Routing in Wireless Sensor Networks Using an Ant Colony Optimization (ACO) Router Chip
Selcuk Okdem et al.
SENSORS (2009)
Biogeography-Based Optimization
Dan Simon
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2008)
Central force optimization: A new metaheuristic with applications in applied electromagnetics
R. A. Formato
PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER (2007)
Ant colony optimization -: Artificial ants as a computational intelligence technique
Marco Dorigo et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2006)
A study of particle swarm optimization particle trajectories
F van den Bergh et al.
INFORMATION SCIENCES (2006)
A new optimization method: Big Bang Big Crunch
OK Erol et al.
ADVANCES IN ENGINEERING SOFTWARE (2006)
Mammalian ear specializations in arid habitats:: structural and functional evidence from sand cat (Felis margarita)
GT Huang et al.
JOURNAL OF COMPARATIVE PHYSIOLOGY A-NEUROETHOLOGY SENSORY NEURAL AND BEHAVIORAL PHYSIOLOGY (2002)
Use of a self-adaptive penalty approach for engineering optimization problems
CAC Coello
COMPUTERS IN INDUSTRY (2000)