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158 lines (144 loc) Β· 6.47 KB
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#include <iostream>
#include <vector>
#include "knapsack.hpp"
using namespace knapsack;
int main() {
// Simple hardcoded data
int capacity = 10;
std::vector<Item> items = {
{60, 10}, // value, weight
{100, 20},
{120, 30}
};
// 1. Zero-One Knapsack
{
ZeroOneKnapsack ks(capacity, items);
std::cout << "Zero-One Knapsack:\n";
std::cout << "DP: " << ks.solve("dp") << "\n";
std::cout << "DP-1D: " << ks.solve("dp-1d") << "\n";
std::cout << "Recursive-Memo: " << ks.solve("recursive-memo") << "\n";
std::cout << "Brute-Force: " << ks.solve("brute-force") << "\n";
std::cout << "Brute-Force-Bitmask: " << ks.solve("brute-force-bitmask") << "\n";
std::cout << "Meet-in-Middle: " << ks.solve("meet-in-the-middle") << "\n";
std::cout << "Branch-and-Bound: " << ks.solve("branch-and-bound") << "\n";
std::cout << "FPTAS: " << ks.solve("fptas") << "\n";
std::cout << "Greedy-Local: " << ks.solve("greedy-local") << "\n";
std::cout << "DRL: " << ks.solve("drl") << "\n\n";
}
// 2. Fractional Knapsack
{
FractionalKnapsack ks(capacity);
ks.items = items;
std::cout << "Fractional Knapsack:\n";
std::cout << "Greedy: " << ks.solve("greedy") << "\n";
std::cout << "Sort-then-Fill: " << ks.solve("sort-then-fill") << "\n";
std::cout << "Brute-Force: " << ks.solve("brute-force") << "\n";
std::cout << "Brute-Force-Bitmask: " << ks.solve("brute-force-bitmask") << "\n\n";
}
// 3. Bounded Knapsack (with quantities)
{
std::vector<Item> boundedItems = {
{60, 10, 2}, // value, weight, quantity
{100, 20, 1},
{120, 30, 3}
};
BoundedKnapsack ks(capacity);
ks.items = boundedItems;
std::cout << "Bounded Knapsack:\n";
std::cout << "Brute-Force: " << ks.solve("brute-force") << "\n";
std::cout << "Brute-Force-Bitmask: " << ks.solve("brute-force-bitmask") << "\n";
std::cout << "Recursive-Memo: " << ks.solve("recursive-memo") << "\n";
std::cout << "DP: " << ks.solve("dp") << "\n";
std::cout << "Binary-Split-DP: " << ks.solve("binary-split-dp") << "\n";
std::cout << "Branch-and-Bound: " << ks.solve("branch-and-bound") << "\n";
std::cout << "Greedy-Local: " << ks.solve("greedy-local") << "\n\n";
}
// 4. Unbounded Knapsack
{
UnboundedKnapsack ks(capacity, items);
std::cout << "Unbounded Knapsack:\n";
std::cout << "Brute-Force: " << ks.solve("brute-force") << "\n";
std::cout << "Recursive-Memo: " << ks.solve("recursive-memo") << "\n";
std::cout << "DP: " << ks.solve("dp") << "\n";
std::cout << "DP-1D: " << ks.solve("dp-1d") << "\n\n";
}
// 5. Multi-Dimensional Knapsack
{
std::vector<int> capacities = {10, 15}; // Two dimensions
MultiDimensionalKnapsack ks(capacities, items);
std::cout << "Multi-Dimensional Knapsack:\n";
std::cout << "Brute-Force: " << ks.solve("brute-force") << "\n";
std::cout << "Recursive-Memo: " << ks.solve("recursive-memo") << "\n";
std::cout << "DP: " << ks.solve("dp") << "\n\n";
}
// 6. Multi-Objective Knapsack
{
std::vector<int> secondaryValues = {5, 10, 15}; // Secondary objectives
MultiObjectiveKnapsack ks(capacity, items, secondaryValues);
std::cout << "Multi-Objective Knapsack:\n";
std::cout << "Brute-Force: " << ks.solve("brute-force") << "\n";
std::cout << "DP: " << ks.solve("dp") << "\n";
std::cout << "Lexicographic: " << ks.solve("lexicographic") << "\n";
std::cout << "Weighted-Sum: " << ks.solve("weighted-sum") << "\n\n";
}
// 7. Multiple Knapsack
{
std::vector<int> bagCapacities = {10, 15}; // Two knapsacks
MultipleKnapsack ks(bagCapacities, items);
std::cout << "Multiple Knapsack:\n";
std::cout << "Brute-Force: " << ks.solve("brute-force") << "\n";
std::cout << "Greedy: " << ks.solve("greedy") << "\n";
std::cout << "DP-Each-Bag: " << ks.solve("dp-each-bag") << "\n\n";
}
// 8. Quadratic Knapsack
{
QuadraticKnapsack ks(capacity, items);
// Set interaction matrix
std::vector<std::vector<int>> Q = {
{0, 5, 3},
{5, 0, 2},
{3, 2, 0}
};
ks.setInteractionMatrix(Q);
std::cout << "Quadratic Knapsack:\n";
std::cout << "Brute-Force: " << ks.solve("brute-force") << "\n";
std::cout << "Greedy: " << ks.solve("greedy") << "\n";
std::cout << "DP-Approx: " << ks.solve("dp-approx") << "\n\n";
}
// 9. Stochastic Knapsack
{
StochasticKnapsack ks(capacity, items);
// Set weight probability distributions
ks.setWeightProb(0, {{8, 0.5}, {10, 0.3}, {12, 0.2}});
ks.setWeightProb(1, {{18, 0.6}, {20, 0.4}});
ks.setWeightProb(2, {{28, 0.7}, {30, 0.3}});
std::cout << "Stochastic Knapsack:\n";
std::cout << "Monte-Carlo: " << ks.solve("monte-carlo") << "\n";
std::cout << "Greedy-Expected: " << ks.solve("greedy-expected") << "\n";
std::cout << "Expected-DP: " << ks.solve("expected-dp") << "\n\n";
}
// 10. Multi-Choice Knapsack
{
std::vector<std::vector<Item>> groups = {
{{60, 10}, {70, 12}}, // Group 1
{{100, 20}, {110, 22}}, // Group 2
{{120, 30}, {130, 32}} // Group 3
};
MultiChoiceKnapsack ks(capacity, groups);
std::cout << "Multi-Choice Knapsack:\n";
std::cout << "Brute-Force: " << ks.solve("brute-force") << "\n";
std::cout << "Greedy: " << ks.solve("greedy") << "\n";
std::cout << "DP: " << ks.solve("dp") << "\n\n";
}
// 11. Metaheuristic Approaches
{
ZeroOneKnapsack ks(capacity, items);
std::cout << "Metaheuristic Approaches:\n";
std::cout << "Simulated-Annealing: " << MetaheuristicKnapsackSolver::solve(&ks, "simulated-annealing") << "\n";
std::cout << "Ant-Colony: " << MetaheuristicKnapsackSolver::solve(&ks, "ant-colony") << "\n";
std::cout << "PSO: " << MetaheuristicKnapsackSolver::solve(&ks, "pso") << "\n";
std::cout << "ILP: " << MetaheuristicKnapsackSolver::solve(&ks, "ilp") << "\n";
std::cout << "Constraint-Programming: " << MetaheuristicKnapsackSolver::solve(&ks, "constraint-programming") << "\n";
}
return 0;
}