ACROA: Artificial Chemical Reaction Optimization Algorithm for global optimization

By Bilal Alatas. Expert systems with applications, 2011

397 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/410146f15bbf5c420b8ec0fcc464d3fcf4db3bbf

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

1. Pavel Trojovský
2. Mohammad Dehghani
3. Seyedali Mirjalili
4. Tansel Dökeroğlu
5. Gaurav Dhiman
6. Laith Mohammad Abualigah
7. Vijay Kumar
8. Shahrzad Saremi

In Computational Theory and Mathematics

1. Pavel Trojovský
2. Mohammad Dehghani
3. Tansel Dökeroğlu
4. Gaurav Dhiman
5. Laith Mohammad Abualigah
6. Vijay Kumar
7. Seyedali Mirjalili
8. Shahrzad Saremi

Citations in the corpus

• A survey on new generation metaheuristic algorithms (2019, methodology): “Some of other the recent algorithms are Artificial Chemical Reaction Optimization Algorithm (Alatas, 2011), Exchange Market Algorithm (Ghorbani and Babaei, 2014), Group Counseling Optimization (Eita and Fahmy, 2014), Probability-Based Incremental Learning (Dasgupta and Michalewicz, 2013), Gravitatio”
• Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems (2019, methodology): “Emperor Penguin Optimizer [41] EPO Collective Neurodynamic Optimization [1,42–44] CNO Artificial Chemical Reaction Optimization Algorithm [45] ACROA Galaxy-based Search Algorithm [46] GbSA Firefly Algorithm [47] FA Exchange Market Algorithm [48] EMA Social-Based Algorithm [49] SBA Harmony Search [50”
• Grey Wolf Optimizer (2014, methodology): “Some of the most popular algorithms are Gravitational Local Search (GLSA) [22], Big-Bang Big-Crunch (BBBC) [23], Gravitational Search Algorithm (GSA) [24], Charged System Search (CSS) [25], Central Force Optimization (CFO) [26], Artificial Chemical Reaction Optimization Algorithm (ACROA) [27], Black”
• A novel algorithm for global optimization: Rat Swarm Optimizer (2020, methodology): “1983), Charged System Search (CSS) (Kaveh and Talatahari 2010a), Big-Bang Big-Crunch (BBBC) (Erol and Eksin 2006), Black Hole (BH) (Hatamlou 2013) algorithm, Artificial Chemical Reaction Optimization Algorithm (ACROA) (Alatas 2011), Ray Optimization (RO) algorithm (Kaveh and Khayatazad 2012), Small-”
• Evolutionary population dynamics and grey wolf optimizer (2014, background): “There are also a massive number of recently proposed algorithms in the literature: gravitational local search (GLSA) [1], big bang– big crunch (BBBC) [2], gravitational search algorithm (GSA) [3], central force optimization (CFO) [4], artificial chemical reaction optimization algorithm (ACROA) [5], ”
• Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications (2017, methodology): “The name of few algorithms are Simulated Annealing (SA) [33] , ravitational Search Algorithm (GSA) [52] , Big-Bang Big-Crunch BBBC) [14] , Charged System Search (CSS) [31] , Black Hole (BH) 23] algorithm, Central Force Optimization (CFO) [16] , Small-World ptimization Algorithm (SWOA) [13] , Artific”
• Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer (2022, methodology): “Some examples of the physical-based methods are the simulated annealing (SA) [36], the water wave optimization (WWO) algorithm [31], gravitational search algorithm (GSA) [14, 52], and the artificial chemical reaction optimization algorithm (ACROA) [11].”
• Northern Goshawk Optimization: A New Swarm-Based Algorithm for Solving Optimization Problems (2021, methodology): “Some other physics-based algorithms are Artificial Chemical Reaction Optimization Algorithm (ACROA) [21], Multi-Verse Optimizer (MVO) [22], Electromagnetic Field Optimization (EFO) [23], Nuclear Reaction Optimization (NRO) [24], Optics Inspired Optimization (OIO) [25], Atom Search Optimization (ASO)”
• Emperor penguin optimizer: A bio-inspired algorithm for engineering problems (2018, methodology): “Some of the other popular algorithms are: Big-Bang Big-Crunch (BBBC) [10], Charged System Search (CSS) [11], Black Hole (BH) [12] algorithm, Central Force Optimization (CFO) [13], Small-World Optimization Algorithm (SWOA) [14], Artificial Chemical Reaction Optimization Algorithm (ACROA) [15], Ray Op”