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81
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82
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83
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84
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85
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86
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87
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88
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89
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90
Objective values of both algorithms for m = 5.
منشور في 2025"…The method finds the optimal solution through an improved adaptive large-scale neighborhood search algorithm and uses a scenario generation technique to generate the scenarios required for evaluating candidate solutions to the high-dimensional stochastic optimization problem. …"
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91
Objective values of both algorithms for m = 4.
منشور في 2025"…The method finds the optimal solution through an improved adaptive large-scale neighborhood search algorithm and uses a scenario generation technique to generate the scenarios required for evaluating candidate solutions to the high-dimensional stochastic optimization problem. …"
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92
Comparison of various operation indexes for IEE 33-bus system based on all algorithms.
منشور في 2025الموضوعات: -
93
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94
Details of the metaheuristic algorithms.
منشور في 2025"…To address these drawbacks, this paper proposed an enhanced Whale Optimization Algorithm (RWOA). RWOA utilized Good Nodes Set method to generate evenly distributed whale individuals and incorporated Hybrid Collaborative Exploration strategy, Spiral Encircling Prey strategy, and an Enhanced Spiral Updating strategy integrated with Levy flight. …"
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95
Parameter settings for algorithms.
منشور في 2025"…To address these drawbacks, this paper proposed an enhanced Whale Optimization Algorithm (RWOA). RWOA utilized Good Nodes Set method to generate evenly distributed whale individuals and incorporated Hybrid Collaborative Exploration strategy, Spiral Encircling Prey strategy, and an Enhanced Spiral Updating strategy integrated with Levy flight. …"
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96
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97
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98
The optimal deployment plan under different thresholds of traffic fairness indicators.
منشور في 2025الموضوعات: -
99
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100