An efficient hybrid optimization method for fuzzy flexible job-shop scheduling problem: steady-state performance and analysis

Keyphrases

• Best Solution 14%
• Block Inversion 14%
• Block Shuffling 28%
• Boxplot 14%
• CPU Time 14%
• Crisps 14%
• Current Solution 14%
• Encoding-decoding 14%
• Flexible Job Shop Scheduling 100%
• Fuzzy Flexible Job Shop Scheduling 100%
• Fuzzy Makespan 14%
• Fuzzy numbers 14%
• Fuzzy Processing Time 14%
• Hybrid Fuzzy 71%
• Hybrid Optimization 100%
• Initialize 14%
• Inversion mutation 28%
• Local Search Algorithm 14%
• Manufacturing Systems 14%
• Mutation Operator 14%
• Near-optimal Solution 14%
• Population Diversity 14%
• Processing Time 28%
• Production System 14%
• Random Locations 14%
• Remanufacturing 14%
• Scheduling Approach 71%
• Scheduling Issues 14%
• Shuffle Operator 57%
• Solution Quality 14%
• Statistical Analysis 14%
• Statistical Measures 14%
• Steady-state Analysis 100%
• Steady-state Performance 100%
• Wilcoxon Signed-rank Test 14%

Computer Science

• Job Shop Scheduling Problem 100%
• Mutation Operator 16%
• Performance State 100%
• Processing Time 50%
• Production System 16%
• Random Position 16%
• Scheduling Problem 100%
• Search Strategy 16%

Mathematics

• Boxplots 50%
• Local Search 50%
• Manufacturing System 100%
• Search Strategy 50%
• Statistical Analysis 50%
• Superiority 50%
• Wilcoxon Signed-Rank Test 50%