Testing of machinability of mould steel 40CrMnMo7 using genetic algorithm

Multi-objective optimization of a two-dimensional cutting problem using genetic algorithms

“…Some typical examples would include studies on mechanical working of metals [8][9][10][11][12][13][14][15] and their machining [16][17][18], alloy development [19][20], casting and solidification [21,22], hot and cold rolling [23,24]. Although these biologically inspired techniques are quite new entrants in these areas of research, in recent times genetic algorithms were applied to determine the optimized layout of rectangular parts related to metal cutting problems [25][26][27][28].…”

Multi Objective Optimization of Turning Operation Using Hybrid Decision Making Analysis

“…In the literature, the optimization techniques on machining operations are traditional, statistical, heuristic etc.). In the past literature, geometric, dynamic and sequential quadratic programming [4][5][6] for the traditional methods; Taguchi [7] and experimental design [8] for the statistical methods and hill climbing algorithm [9], genetic algorithm [10][11], differential evolution algorithm [12], particle swarm algorithm [13][14][15] for the heuristic techniques were used.…”