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The proposed algorithm presents a solution to improve the grey wolf optimizer performance using weighted distance and immigration operation. The weight distance is used for the omega wolves movement is defined from fitness value of each leader (alpha, beta and delta). The traditional grey wolf algorithm has only one pack and has opportunity to trap in local optimum so the wolves in our proposed algorithm...
Recent years have seen rapid development of methods for approximate and optimal solutions to the protein structure alignment problem. Albeit slow, these methods can be extremely useful in assessing the accuracy of more efficient, heuristic algorithms. We utilize a recently developed approximation algorithm for protein structure matching to demonstrate that a deep search of the protein superposition...
Multi-State System (MSS) is mathematical model of investigated object in reliability analysis. MSS allows present the investigated object in more detail than traditional Binary-State System. The importance analysis allows MSS reliability estimation depending on the system structure and its components states. Importance measures quantify the criticality of a particular component. They have been widely...
Based on particle swarm optimization (PSO) and artificial bee colony (ABC), a novel hybrid swarm intelligent algorithm is developed in this paper. Two information exchanging processes are introduced to share valuable information mutually between particle swarm and bee colony. Numerical results show that the proposed method is effective and performs better than both PSO and ABC.
Minimizing the turnaround time for job orders on the manufacturing shop floor can raise the utilization and efficiencies of the resources in an organization. In some cases, it can reduce capital expenditure for more machines whilst handling the same amount of work load. The key is to schedule the individual processes in the job order to reduce slack time whilst adhering to the process ordering constraints...
A Greedy Randomized Adaptive Search Procedure (GRASP) algorithm for Disassembly Sequence Planning has recently been proposed. For this problem, feasibility-checking is rather time consuming due to the large number of constraints. The same happens to the local search used within GRASP to improve solutions. In this paper two parallel implementations of the algorithm are proposed for effectively solving...
In automotive embedded networked control system, signal represents parameter and variable, and its data is transmitted by frame in terms of in-vehicle network protocol. It is necessary to minimize the frame number so as to improve system performance. In this paper, the signal framing problem and methods for frame number optimization in automotive embedded networked control system are studied. Based...
This paper presents a self-adaptive bacteria swarm optimization algorithm, and its application in a suite of optimization benchmark problems, where the self-adaptive algorithm outperformed in most cases the non adaptive version. The algorithm follows a methodology that uses some concepts included in the evolution strategies for the parameter control, allowing the algorithm to select online the best...
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