A bio-inspired hybrid computation for managing and scheduling virtual resources using cloud concepts

Keyphrases

• Bio-inspired 100%
• Genetic Algorithm 100%
• Manufacturing Industry 100%
• Resource Scheduling 100%
• Virtual Resources 100%
• Hybrid Computing 100%
• Particle Swarm Optimization 50%
• Heuristic Algorithms 50%
• Resource Utilization 50%
• Hybrid Method 50%
• Resource Allocation 50%
• Particle Swarm Optimization Algorithm 50%
• Time Consumption 50%
• Optimal Cost 50%
• Engineering Problems 50%
• Dynamic Resources 50%
• Global Optimal Solution 50%
• Optimal Convergence Rate 50%
• Global Convergence 50%
• Effective Cost 50%
• Cloud Manufacturing 50%
• Search Speed 50%
• Virtualized Resources 50%
• Cost Utilization 50%
• Large-scale Optimization Problems 50%
• Engine Block 50%
• Effective Results 50%
• Traditional Manufacturing Industry 50%
• Casting Industry 50%
• Scheduling Issues 50%

Engineering

• Genetic Algorithm 100%
• Particle Swarm Optimization 100%
• Optimisation Problem 50%
• Simulation Result 50%
• Hybrid Approach 50%
• Optimal Cost 50%
• Engineering Problem 50%
• End-Users 50%
• Modern Manufacturing 50%
• Resource Utilisation 50%