Cuckoo search algorithm for the selection of optimal machining parameters in milling operations

By A. Yıldız. The International Journal of Advanced Manufacturing Technology, 2012

428 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/3660cbd9d1f527614da346f3d01e6d9bb62c98bc

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. Jingtong Hu
2. Ahmet Cosar
3. Tansel Dökeroğlu
4. Tayfun Kucukyilmaz
5. Ender Sevinç

In Electrical and Electronic Engineering

1. Ahmet Cosar
2. Tansel Dökeroğlu
3. Tayfun Kucukyilmaz
4. Ender Sevinç

In Mechanical Engineering

1. Ahmet Cosar
2. Tansel Dökeroğlu
3. Tayfun Kucukyilmaz
4. Ender Sevinç

Citations in the corpus

• A survey on new generation metaheuristic algorithms (2019, background): “Yildiz (2013) proposes CSA for solving manufacturing optimization problems.”
• A genetic algorithm for task scheduling on heterogeneous computing systems using multiple priority queues (2014, background): “It is well known that particle swarm optimization (PSO) [13–17], ant colony optimization (ACO) [18,19], artificial bee colony algorithm (ABC) [20], simulated annealing (SA) [21,22], cuckoo search algorithm (CS) [23], tabu search (TS) [24,25], evolution algorithm [26,27], and genetic algorithms (GA) ”