Learn what a set covering problem is and how to solve it with different optimization algorithms, such as exact, heuristic, and metaheuristic.

Osprey optimization algorithm: A new bio-inspired metaheuristic algorithm for solving engineering optimization problems Mohammad Dehghani Pavel Trojovský * ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

The Quantum Information Recursive Optimization (QIRO) algorithm developed by MicroAlgo demonstrates significant technical advantages in solving combinatorial optimization problems.

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three ...

Graph Colouring Problem Solver using the Backtracking Search Algorithm, AND a Genetic Algorithm. Project idea and overview .. The Graph Coloring Problem is a well-known combinatorial optimization ...

Two new coronavirus-based metaheuristic algorithm was proposed. A challenging nonlinear optimization problem is solved efficiently. A mathematical optimization model is formulated to solve small ...