genetic-search-multiprocess
Version:
Multiprocessing genetic algorithm implementation library extension
97 lines • 5.51 kB
JavaScript
;
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Object.defineProperty(exports, "__esModule", { value: true });
exports.BaseMultiprocessingPhenomeStrategy = void 0;
var multiprocessor_1 = require("multiprocessor");
var genetic_search_1 = require("genetic-search");
/**
* Base class for phenome strategies that uses multiprocessing to execute phenome calculation tasks.
*
* @template TGenome - The type of the genome.
* @template TConfig - The type of the configuration for the phenome strategy.
* @template TTaskConfig - The type of the configuration for each phenome calculation task.
*
* @category Strategies
*/
var BaseMultiprocessingPhenomeStrategy = /** @class */ (function (_super) {
__extends(BaseMultiprocessingPhenomeStrategy, _super);
function BaseMultiprocessingPhenomeStrategy() {
return _super !== null && _super.apply(this, arguments) || this;
}
/**
* Execute the phenome calculation tasks.
*
* @param inputs The inputs to the phenome calculation tasks.
* @returns A matrix of phenome results, where each row corresponds to a single genome.
*/
BaseMultiprocessingPhenomeStrategy.prototype.execTasks = function (inputs) {
return __awaiter(this, void 0, void 0, function () {
var pool, result;
var _this = this;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
pool = new multiprocessor_1.Pool(this.config.poolSize);
return [4 /*yield*/, pool.map(inputs, this.config.task, { onTaskSuccess: function (result, input) { var _a, _b; return (_b = (_a = _this.config).onTaskResult) === null || _b === void 0 ? void 0 : _b.call(_a, result, input); } })];
case 1:
result = _a.sent();
pool.close();
return [2 /*return*/, result];
}
});
});
};
return BaseMultiprocessingPhenomeStrategy;
}(genetic_search_1.BasePhenomeStrategy));
exports.BaseMultiprocessingPhenomeStrategy = BaseMultiprocessingPhenomeStrategy;
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