be_ai_gen.c (3954B)
1 /* 2 =========================================================================== 3 Copyright (C) 1999-2005 Id Software, Inc. 4 5 This file is part of Quake III Arena source code. 6 7 Quake III Arena source code is free software; you can redistribute it 8 and/or modify it under the terms of the GNU General Public License as 9 published by the Free Software Foundation; either version 2 of the License, 10 or (at your option) any later version. 11 12 Quake III Arena source code is distributed in the hope that it will be 13 useful, but WITHOUT ANY WARRANTY; without even the implied warranty of 14 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 15 GNU General Public License for more details. 16 17 You should have received a copy of the GNU General Public License 18 along with Foobar; if not, write to the Free Software 19 Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA 20 =========================================================================== 21 */ 22 23 /***************************************************************************** 24 * name: be_ai_gen.c 25 * 26 * desc: genetic selection 27 * 28 * $Archive: /MissionPack/code/botlib/be_ai_gen.c $ 29 * 30 *****************************************************************************/ 31 32 #include "../game/q_shared.h" 33 #include "l_memory.h" 34 #include "l_log.h" 35 #include "l_utils.h" 36 #include "l_script.h" 37 #include "l_precomp.h" 38 #include "l_struct.h" 39 #include "aasfile.h" 40 #include "../game/botlib.h" 41 #include "../game/be_aas.h" 42 #include "be_aas_funcs.h" 43 #include "be_interface.h" 44 #include "../game/be_ai_gen.h" 45 46 //=========================================================================== 47 // 48 // Parameter: - 49 // Returns: - 50 // Changes Globals: - 51 //=========================================================================== 52 int GeneticSelection(int numranks, float *rankings) 53 { 54 float sum, select; 55 int i, index; 56 57 sum = 0; 58 for (i = 0; i < numranks; i++) 59 { 60 if (rankings[i] < 0) continue; 61 sum += rankings[i]; 62 } //end for 63 if (sum > 0) 64 { 65 //select a bot where the ones with the higest rankings have 66 //the highest chance of being selected 67 select = random() * sum; 68 for (i = 0; i < numranks; i++) 69 { 70 if (rankings[i] < 0) continue; 71 sum -= rankings[i]; 72 if (sum <= 0) return i; 73 } //end for 74 } //end if 75 //select a bot randomly 76 index = random() * numranks; 77 for (i = 0; i < numranks; i++) 78 { 79 if (rankings[index] >= 0) return index; 80 index = (index + 1) % numranks; 81 } //end for 82 return 0; 83 } //end of the function GeneticSelection 84 //=========================================================================== 85 // 86 // Parameter: - 87 // Returns: - 88 // Changes Globals: - 89 //=========================================================================== 90 int GeneticParentsAndChildSelection(int numranks, float *ranks, int *parent1, int *parent2, int *child) 91 { 92 float rankings[256], max; 93 int i; 94 95 if (numranks > 256) 96 { 97 botimport.Print(PRT_WARNING, "GeneticParentsAndChildSelection: too many bots\n"); 98 *parent1 = *parent2 = *child = 0; 99 return qfalse; 100 } //end if 101 for (max = 0, i = 0; i < numranks; i++) 102 { 103 if (ranks[i] < 0) continue; 104 max++; 105 } //end for 106 if (max < 3) 107 { 108 botimport.Print(PRT_WARNING, "GeneticParentsAndChildSelection: too few valid bots\n"); 109 *parent1 = *parent2 = *child = 0; 110 return qfalse; 111 } //end if 112 Com_Memcpy(rankings, ranks, sizeof(float) * numranks); 113 //select first parent 114 *parent1 = GeneticSelection(numranks, rankings); 115 rankings[*parent1] = -1; 116 //select second parent 117 *parent2 = GeneticSelection(numranks, rankings); 118 rankings[*parent2] = -1; 119 //reverse the rankings 120 max = 0; 121 for (i = 0; i < numranks; i++) 122 { 123 if (rankings[i] < 0) continue; 124 if (rankings[i] > max) max = rankings[i]; 125 } //end for 126 for (i = 0; i < numranks; i++) 127 { 128 if (rankings[i] < 0) continue; 129 rankings[i] = max - rankings[i]; 130 } //end for 131 //select child 132 *child = GeneticSelection(numranks, rankings); 133 return qtrue; 134 } //end of the function GeneticParentsAndChildSelection