Reinforced cuckoo search algorithm-based multimodal optimization
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1355-3
Abstract: This work proposes a Reinforced Cuckoo Search Algorithm (RCSA) for multimodal optimization, which comprises three different strategies: modified selection strategy, Patron-Prophet concept, and self-adaptive strategy. The modified selection strategy has been proposed for efficient selection… read more here.
Keywords: search; multimodal optimization; search algorithm; cuckoo search ... See more keywords
A multilevel sampling strategy based memetic differential evolution for multimodal optimization
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.01.006
Abstract: Abstract Multimodal optimization, aiming to locate multiple optima in parallel, is a challenging task. In this paper, a multilevel sampling strategy based memetic differential evolution algorithm is proposed to tackle the problem. In the proposed… read more here.
Keywords: evolution; multimodal optimization; multilevel sampling; strategy ... See more keywords
A Q-Learning-Based Brainstorming Optimization Algorithm for Solving Multimodal Optimization Problems
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2024.3502233
Abstract: Large models involve solving more complex problems using intelligent computing methods, such as machine learning, evolutionary algorithms, and swarm intelligence. Multiple choices are a common phenomenon in consumer electronics. Multimodal optimization (MMO) aims to find… read more here.
Keywords: solving multimodal; optimization problems; multimodal optimization; based brainstorming ... See more keywords
Knowledge-Based Perturbation LaF-CMA-ES for Multimodal Optimization
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DOI: 10.3390/app14199133
Abstract: Multimodal optimization presents a significant challenge in optimization problems due to the existence of multiple attraction basins. Balancing exploration and exploitation is essential for the efficiency of algorithms designed to solve these problems. In this… read more here.
Keywords: cma; knowledge based; multimodal optimization; based perturbation ... See more keywords
Peak Identification in Evolutionary Multimodal Optimization: Model, Algorithms, and Metrics
Sign Up to like & getrecommendations! Published in 2024 at "Biomimetics"
DOI: 10.3390/biomimetics9100643
Abstract: In this paper, we present a two-phase multimodal optimization model designed to efficiently and accurately identify multiple optima. The first phase employs a population-based search algorithm to locate potential optima, while the second phase introduces… read more here.
Keywords: peak identification; multimodal optimization; optimization model; optimization ... See more keywords
A Hybrid Harmony Search Algorithm for Distributed Permutation Flowshop Scheduling with Multimodal Optimization
Sign Up to like & getrecommendations! Published in 2025 at "Mathematics"
DOI: 10.3390/math13162640
Abstract: Distributed permutation flowshop scheduling is an NP-hard problem that has become a hot research topic in the fields of optimization and manufacturing in recent years. Multimodal optimization finds multiple global and local optimal solutions of… read more here.
Keywords: flowshop scheduling; permutation flowshop; distributed permutation; algorithm ... See more keywords