Abstract: A wireless hoist system including a first hoist device having a first motor and a first wireless transceiver and a second hoist device having a second motor and a second wireless transceiver. The wireless hoist system includes a controller in wireless communication with the first wireless transceiver and the second wireless. The controller is configured to receive a user input and determine a first operation parameter and a second operation parameter based on the user input. The controller is also configured to provide, wirelessly, a first control signal indicative of the first operation parameter to the first hoist device and provide, wirelessly, a second control signal indicative of the second operation parameter to the second hoist device. The first hoist device operates based on the first control signal and the second hoist device operates based on the second control signal.

Abstract: A genetic algorithm (GA) approach is used to adapt a wireless radio to a changing environment. A cognitive radio engine implements three algorithms; a wireless channel genetic algorithm (WCGA), a cognitive system monitor (CSM) and a wireless system genetic algorithm (WSGA). A chaotic search with controllable boundaries allows the cognitive radio engine to seek out and discover unique solutions efficiently. By being able to control the search space by limiting the number of generations, crossover rates, mutation rates, fitness evaluations, etc., the cognitive system can ensure legal and regulatory compliance as well as efficient searches. The versatility of the cognitive process can be applied to any adaptive radio. The cognitive system defines the radio chromosome, where each gene represents a radio parameter such as transmit power, frequency, modulation, etc. The adaptation process of the WSGA is performed on the chromosomes to develop new values for each gene, which is then used to adapt the radio settings.