Quantum-inspired algorithm solves 268 million-site quasicrystal simulation in a heartbeat

Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...
IEEE

A hybrid algorithm for the traveling salesman problem

Abstract: The traveling salesman problem is a classical and challenging optimization problem in combinatorial optimization, widely applied in logistics and path planning. To address this problem ...
IEEE

Comparative Analysis of the Performance of Recent Optimization Algorithms in Solving Engineering Problems

Abstract: Intelligent optimization algorithms are currently the mainstream methods for solving engineering design problems. This paper conducts a comprehensive analysis of the performance of five ...
Scientific American

How two mathematicians created an equation that quietly runs the planet

Diffie-Hellman’s key-exchange method runs this kind of exponentiation protocol, with all the operations conducted in this way ...
IEEE

A Two-stage Single Population Evolutionary Algorithm for Constrained Multi-objective Optimization Problems

Abstract: In recent years, there has been a growing interest in solving constrained multi-objective optimization problems (CMOPs) using simple helper problems. These constrained multi-objective ...
Morningstar

CodeSignal Launches Industry-First Agentic Coding Assessments for AI-Era Engineering Hiring

New assessments evaluate how candidates produce real work with AI tools like Claude Code, Cursor, and Codex, as new research shows 9 in 10 engineers already rely on them A new CodeSignal survey of 450 ...
IEEE

A Co-Evolution Algorithm With Dueling Reinforcement Learning Mechanism for the Energy-Aware Distributed Heterogeneous Flexible Flow-Shop Scheduling Problem

Abstract: The production process of steelmaking continuous casting (SCC) is a typical heterogeneous distributed manufacturing system. The scheduling problem in heterogeneous distributed manufacturing ...
GitHub

20260316_Top_50_Interview_Algorithms.md

Context: The 50 most frequently asked algorithmic problems in technical interviews (often derived from the "Blind 75" or "NeetCode 150"), grouped by their foundational pattern. From the perspective of ...
IEEE

Fully Tensorized GPU-Accelerated Multi-Population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems

Abstract: Real-world constrained multiobjective optimization problems (CMOPs) are prevalent and often come with stringent time-sensitive requirements. However, most contemporary constrained ...
IEEE

Hierarchical algorithm for large-scale irregular packing problems

Abstract: To address the challenge of large-scale packing problems, this paper proposes a novel hierarchical algorithm based on the geometrical classification of parts. The algorithm begins by ...
IEEE

Primal Decomposition Methods and Algorithms for Nonconvex Problems with Applications in Optimal Zero-Forcing Transmit and Receive Beamforming

Abstract: Existing primal decomposition algorithms for nonconvex problems cannot handle nonlinear equality constraints and do not fully exploit the original primal decomposition structures, limiting ...
IEEE

Imitation Learning-Assisted Evolutionary Algorithm for Energy-Efficient Flexible Job Shop Scheduling Problem With Automated Guided Vehicles

Abstract: The flexible job shop scheduling problem with limited automatic guided vehicles (FJSP-AGVs) is prevalent in manufacturing enterprises. To improve production efficiency and reduce energy ...