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This paper proposes a modified iterated greedy algorithm for solving an NP-hard knapsack problem known as the knapsack problem with setup. In contrast to the classical 0–1 knapsack problem, items belong to different classes, and choosing at least one item from a specific class causes a class setup capacity to be consumed and a reduction of the total profit in terms of a penalty that has to be paid...
The current development in science and civilization consists of searching for solutions to enhance our life, security, economy, finance and health while protecting environment. In recent years, we have witnessed the arrival of complex machines with structures similar to humans known as humanoid robots. The combination of these technologies and optimization technics may result in robust, safe, reliable,...
In this paper, we propose a new variant of fish school search algorithm, called rate learning-based fish school search algorithm (RL-FSSA), that uses a new refinement strategy to guide the population of fishes towards the best solutions. The fish motion is based on a collective sensorimotor behavior. Their learning ability determines the fish with the best position (i.e., leader). In each cycle, the...
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