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In this paper, a novel hybrid genetic algorithm is presented for optimization in radiation therapy treatment planning. The proposed Reduced Order Memetic Algorithm (ROMA) is a combination of an evolutionary multi-objective optimization algorithm and gradient-based local search in a reduced order space. The gradient-based optimizer is used for a fast local search and is a variant of the sequential...
To deal with reactive power optimization problem, an adaptive Niche Particle Swarm Optimization algorithm (ANPSO) is presented. Differential Evolution algorithm (DE) is easy to use and has the advantages of strong robustness, but its efficiency is limited and probably to fall into local optimum because the population loss of diversity after several generations. ANDE introduces niche-sharing mechanisms...
In this paper, we propose a new cooperative algorithm based on tabu search (TS) and genetic algorithm (GA) in order to solve the global planning problem of Universal Mobile Telecommunications System (UMTS) networks. This problem has been shown to be NP-hard as it is composed of three different subproblems (each one being NP-hard): the cell planning problem, the access network planning problem and...
Location-routing problem (LRP) is a combinational optimization problem in a logistics system. Most heuristic methods employed for LRP is dividing the problem into location assignment and vehicle routing with a two-phase method, but this method often does not lead to a satisfactory result for the information can not be compressed from one phase to the other efficiently. In this paper we are concerned...
Interactive bionics-swarm co-evolutionary hybrid algorithm system architecture is presented by using cultural double evolutionary structure in this paper. The architecture includes the upper ceiling knowledge space based on good-point-set genetic algorithm (GGA), the bottom ceiling population space based on discrete particle swarm optimization (DPSO), the top-down influence mechanism and the bottom-up...
This paper investigates the performance of the genetic algorithm and tabu search in solving the optimization problem of base station location. Optimization refers to maximizing radio coverage while minimizing equipment and maintenance costs. A comparative analysis of both the genetic algorithm and tabu search was undertaken. The effects of changing the population size as well as the type of selection...
We have developed an effective heuristic algorithm based on a soft optimization approach for solving the multilevel lot-sizing problems in a series assembly product structure [Kaku et al., 2006 and 2008]. The heuristic algorithm segments the solution space and points the search direction in which a better solution may exist, by using the structure information of the multilevel lot-sizing problem,...
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