Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Classiq 1.0 is designed for enterprise quantum R&D groups, algorithm developers, researchers and engineering teams that need to connect classical logic and constraints to quantum models and carry that ...

Abstract: To address engineering challenges such as multi-constraint conflicts, nonlinear coupling, and high material costs, this paper proposes a Multi-Strategy Enhanced Slime Mould Algorithm (MESMA) ...

State-of-the-art techniques for pavement performance evaluation have attracted considerable attention in recent years. Artificial Neural Networks (ANNs) can simulate the human brain to discover hidden ...

Abstract: This paper introduces a novel hybrid optimization algorithm that combines the Gazelle Optimization Algorithm (GOA) with Differential Evolution (DE) to enhance performance in optimizing ...