Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...

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 ...

The app that simplifies group expenses, Splitwise, has solved more than everyday problems. It has quietly reshaped how groups of people handle shared money. With a net valuation of over $100 million ...

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 ...

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 ...

This paper proposes a novel hybrid optimization algorithm named GPOFWA, which integrates political optimizer (PO) with fireworks algorithm (FWA) to solve numerical and engineering optimization ...

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 ...