Aug 28, 2020 · Optimization is a form of data analytics in support of human decision-making. Optimization methods are aimed to find best decision alternatives. Empirical studies serve …

Optimization includes the whole process starting from the problem analysis, followed by modeling, running solution algorithms, understanding and interpreting data, likely mod- ifying data and/or …

1 day ago · The following section describes the latest development in software test case generation, selection and optimization: P. Vats et al. [] proposed an ant colony algorithm to …

1 day ago · This work proposes QAOA-TCS, a new approach based on Quantum Approximate Optimization Algorithms (QAOA) for Test Case Selection, which combines the potential of gate …

Aug 21, 2024 · Combinatorial optimization is a fascinating and crucial area in both mathematics and computer science. In the context of software engineering, it offers powerful tools and …

Dec 4, 2019 · Optimization is a form of data analytics in support of human decision-making. Optimization methods are aimed to find the best decision alternatives. Empirical studies serve …

2 days ago · Accelerated opposition learning based chaotic single candidate optimization algorithm: : A new alternative to population-based heuristics. ... Practical Optimization: …

2 days ago · This work presents a hybrid optimization solution for load balancing that integrates Particle Swarm Optimization (PSO) with genetic algorithms. The efficiency level of the …

Meta-heuristic optimization algorithms are becoming more and more popular in engineering applications because they: (i) rely on rather simple concepts and are easy to implement; (ii) do …

INTENDED AUDIENCE: PG/ PhD students from the department of mathematics/ statistics/economic sciences who wish to learn various optimization algorithms along with its …