In recent years, the prospect of real-world quantum computing has raised hopes for solving hard combinatorial optimisation problems, leading to tremendous theoretical work on developing and analysing ...

Abstract: To address the problems of slow convergence, low search accuracy, and easy fall into local optimum, and generating a large number of infeasible solutions when solving the 0–1 Knapsack ...

Abstract: Knapsack problem is a classical optimization problem in computer science and programming. Knapsack problem main objective is to solve how much the maximum profit can be carried with the ...

An algorithm is a step-by-step procedure or formula for solving a problem. In the context of computer science, it is a series of instructions that are executed to accomplish a specific task. These ...

In technical interviews, the ability to solve Data Structure and Algorithm (DSA) problems efficiently is crucial. Employers seek candidates who can think critically, demonstrate problem-solving skills ...

Several optimization solvers inspired by quantum annealing have been recently developed, either running on actual quantum hardware or simulating it on traditional digital computers. Industry and ...

Aug 2: I'll have 2-hour office hours on Wed, Aug 7, 11:30-13:30. Aug 2: The final exam on Aug 9 will be on all topics of the course, with equal emphasis. You'll have 3 hours for an exam that will be ...

The best algorithm for a computational problem generally depends on the “relevant inputs,” a concept that depends on the application domain and often defies formal articulation. Although there is a ...

[Ahuja00] “A greedy genetic algorithm for the quadratic assignment problem”, R. Ahuja, J. Orlin, A. Tiwari, Computers and Operations Research, vol. 27, issue 10 (Sept. 2000), 917--934, ACM (2000) ...

The Dynamic Vehicle Routing Problem with Stochastic Requests (DVRPSR) is a prototypical problem in transportation logistics. The DVRPSR calls for an initial route plan and an online scheduling policy ...