نتایج جستجو برای: adaptive multimodal optimization
تعداد نتایج: 533391 فیلتر نتایج به سال:
In applications such as surveillance, inspection and traffic monitoring, long-range detection and classification of targets (vehicles, humans, etc) is a highly desired feature for a sensing system. A single modality will no longer provide the required performance due to the challenges in detection and classification with low resolutions, noisy sensor signals, and various environmental factors d...
A modified variant of gray wolf optimization algorithm, namely, mean gray wolf optimization algorithm has been developed by modifying the position update (encircling behavior) equations of gray wolf optimization algorithm. The proposed variant has been tested on 23 standard benchmark well-known test functions (unimodal, multimodal, and fixed-dimension multimodal), and the performance of modifie...
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have better knowledge about different optimal solutions in the search space and as and when needed, the current solution may be switched to another suitable optimum solution. To this end, evolutionary optimization algorithms (EA) stand as viable methodologies mainly...
This work deals with metaheuristic optimization algorithms to derive the best parameters for Gaussian Adaptive PID controller. controller represents a multimodal problem, where several distinct solutions can achieve similar performances, and metaheuristics behave differently during process. Finding correct proportionality between is an arduous task that often does not have algebraic solution. T...
Identifying persuasive speakers in an adversarial environment is a critical task. In national election, politicians would like to have campaign on their behalf. When company faces adverse publicity, they engage advocates for position the presence of adversaries who are them. Debates represent common platform these forms persuasion. This paper solves two problems: Debate Outcome Prediction (DOP)...
This paper presents a new nature inspired Intelligent Water Drops (IWD) based algorithm for finding peaks in continuous multimodal optimization problems. Initially various conceptual similarities were identified between IWD algorithm and Genetic Algorithm(GA). Simultaneously applying IWD-Continuous Optimization(IWD-CO) algorithm and GA on a function in finding the global optima and found IWDCO ...
A popular testbed for deep learning has been multimodal recognition of human activity or gesture involving diverse inputs such as video, audio, skeletal pose and depth images. Deep learning architectures have excelled on such problems due to their ability to combine modality representations at different levels of nonlinear feature extraction. However, designing an optimal architecture in which ...
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